Welcome to our Home Page

We hope you find it interesting, and a bit out of the ordinary: We've all been told/advised that business home pages should be direct, to the point, and provide a view into what we can, or have accomplished. Yet, we all know that past performance does not predict future success, so it is a joint gamble if we can accomplish what you need. Much depends on open, constant, vetted, and honest dialog between you and us. So, our home page is a view into the gray beards/hair with a gazillion years of systems, data, political, and organization (commercial & DoD) experience; who are constantly learning; and are eager to incorporate this knowledge for your benefit. And, if we find something that does not make sense, or where skills are lacking, we are not shy in saying so, and we will take boths sides of an issue to uncover the root requirement (Ro) often times not recognized in the rush to deliver.



Lilliput Systems and Data Engineering

Operating from
201 Lamkin St, Suite 106
Pueblo, CO, 81003
Phone: 719-337-4096


Executive Staff:
Mr Petar Sredojevic CEO/CTO

5165 Sevenoaks Drive

Colorado Springs, CO 80919
Cell phone: (719) 337-4096
Personal E-mail:

Cage Code: 83F63
DUNS Number: 081135610
    Security Clearance: DoD TS/SCI: Issued 2004, Reissued 2010, Expired 2017, Clearable


Data Services engineered at the attribute level; leveraging hybrid distributions of micro-services; to extract and share solutions from IOT (Internet of Things) and other interconnected sources; while ensuring DoD and NIST CyberSecurity standards are adhered to.
  Accomplished with: customer and end-user involvement; sharing of ideas (new, old, unknown) in a "let's see what happens" environment where failures are data-points in the process, experimentation is expected, and a sense of humor is a must-have.  

So here goes!


1. We are not a software vendor. We strive to only recommend software based on the capabilities, the vendor's "openness" with us (with proper NDAs executed), and their willingness to share their success with their technical and business partners.

2. As of today (1 June 2018) the focus of LS&DE (Lilliput Systems and Data Engineering) is 4-fold:

a. Lilliput: Our keyword indicating a focus on Internet of Things framework of small-medium sized components (such as systems used in manufacturing, information sharing, decision making, etc.; connected with open source code like MQTT; operating with various levels of autonomy. Small to us includes: Raspberry PIs, Arduinos, Micro-bits, Particle.io, etc. To some this may look like tinker-toys purchased at micro-center stores, but it was only a few decades ago that the tinker-toys of the time (TRS-80, Atari, Apple I/II, PDP8) challenged the norm.

b. Our environment consists of Systems of inputs, processes, outputs, feedback loops, and the influence of the external environment. Without a system structure to deliver a solution within, the pieces of the solutions are just a jumble of random parts, devices, and algorithms. This then places a heavy reliance of: APIs (Application Program Interfaces); data interchange models like NIEM (National Information Exchange Model); and disjointed training to meet technical and user needs.

c. Data today is often called the "new oil" since data ("datum" is singular, "data" is plural say the purists) is everywhere, is generated constantly by billions of devices, can drive decisions (some good, some not), and can lead to great wealth or ruin if improperly used or depended on. Like #1 above we are not a data software vendor. We instead use the tools that provide capabilities we need to address an issue, expose missing data, and secure the data and user privacy. We know from experience that all the data analysis software vendors have their own suite of products based on their own "data engines/algorithms/interpreters". To obtain valid solutions require sharing of engines, or running data through other engines, to get a consensus of results. In addition, data today has broken away from the table/spreadsheet forms of structured data, and free-flowing text obtained via social media have increased the volume unstructured data. Even though tools exist for unstructured data analysis, each must be evaluated against the requirements, and often connected via APIs with other tools. And above all, it is imperative that the user knows their data: the structure, origin, the provenance, ownership, etc.., since the meaning of the data changes as the environment it passes through.

d. The explosion of data today, and more projected in the future, has already exceeded the abilities of Data Analysis, Predictive Analytics, and Data Warehouses to manage and wrangle the data. Thankfully, AI (Artificial Intelligence) tools can now stream in raw data from any data source, and "structurize" the data so traditional tools can provide analysis. While this is amazing in itself, a need exists now for going beyond the Data Analyst/Scientist who determine what the processed data might indicate, to now adding Engineering principles/concepts, configuration into the data lifecycle. Engineering the data is a key function for understanding what the data is, what its was used for, what is its intent, what controls are required, etc. Without engineering, the Data Scientists must add their own understanding to what the data is about, and how relevant it is. While Metadata Management was used as a method of engineering, it still suffers from definitions of the data elements defined in data dictionaries even though namespaces can separate elements that have the same names, but originate in different environments. But, those of us who populated metadata dictionaries learned early on that users/developers rarely used the data dictionaries, so the AI tools of today now can the data correlation. Add in the blockchain structure where data provenance follows with the data, plus is replicated in secure vaults, and data now is as valuable as currency.



"Lilliput Systems and Data Engineering; what a weird name for an IT consultancy©" by Petar Sredojevic, CEO/CTO.

It was in the mid-1990s that I realized that I was a data geek! There, I said it, and now I have posted it to the LinkedIn community. But, even though a significant realization for me, the fact was that most data geeks of that era often where data modelers, database developers, data normalizers, data archivers, etc. You know: the tasks in managing, manipulating, organizing, and reporting on structured data (also known as rows/columns, or fields/records). With social media still a ways away, unstructured data was just free-flowing text that had to be “structurized” for use in relational or relational-like databases, or discarded as the chaff or tailings of the processed data. Data mining was brute forced, and left behind mounds of data tailings, never to be reprocessed for any potential dark data within it.

But, there was light at the end of the data stream. Concepts like data wrangling, data warehouses, data marts, data lakes, data juke boxes, data fields, etc., started appearing, as dark data was found to exist in structured data if squeezed hard enough and repeatedly. But extracting dark data from prior and recent data tailings was limited by technologies. Yet, with advances from the data pioneers, newer software algorithms and hardware structures emerged to accelerate the squeeze, and also increase the volumes which could be squeezed.

Thus, cloud and big data technologies emerged by taking older technologies and redesigning them for the new world of faster and connectable processors, while trying to stay ahead of Moore's Law. Of course, this was not the end, as connected processors became smaller and smaller in size, (the "brilliant pebbles" of processing), network protocols became leaner and faster, and new data structures like blockchain emerged so the provenance of data could accompany the data along with encrypted "decoders" as part of the data. Data Science now became a real concept, and then a college degree (even though hard to explain to older relatives or young children!)

To paraphrase data philosophers: we have more data today than we will ever be able to use or access in our lifetimes. But as legal litigations and investigations have shown us, we dare not dispose of the data, for without it, we have no defense or justification for decisions.

Now, to get back to the question at the top of all this: what is Lilliput Systems and Data Engineering? We are a growing team of data geeks (or "consultants" as it says on our business cards) that have lived the world of data, information, records, and knowledge for several decades. We've been there, gotten the t-shirts, attended the conferences, tried all the architectures and designs, and produced enough paper reports to fill warehouses.

And, because of our experiences (and failures, too), we are formalizing the term "Data Engineering", to replace the oft misused "Data Architecture". Why? Architectures are conceptual artifacts, and rarely accurate, since definitions are assigned by the staff, and rarely placed under configuration control be a standards organization. Over time, the definitions change, but the reasons behind the change is forgotten

But like an item that has been engineered via processes and standards used to manage the creation of an engineering item, diagrams are engineering drawings verified against the actual devices they depicts and interconnections to other devices can be found through drill downs without changing the meaning of the device.

As data is engineered into smaller and smaller micro devices and micro services, they still are part of the community of devices and services, even if their data structure is the only configuration item. The future of worldwide swarms of devices, each running autonomously or in packs or prides, passing data to/from a central core or multiple communities, where results feed human and machine decision making, are no longer a simple "input-processing(with feedback)-output system", but a complex environment of smaller and smaller Lilliputian systems of Internet-of-Things devices. Data and system security issues will grow as the device sizes shrink.

Bottom Line: Just as data has become plentiful, and reduced for computations, the devices and networks of Internet of Things must be treated as any-scale systems, since what we can't see can indeed hurt us.

That's why we're here. To keep awareness high, and exchange security postures.

Yours Truly,

Petar ("Pet-ar") Sredojevic ("Shred-oh-yea-vitch")

© Copy write 2018, Lilliput Systems and Data Engineering




































Recognized as an Industry Leader in Data and Enterprise Information Management (EIM); A 2013 Recipient of OpenText Corporation’s Heroes in Innovation Award; Guest speaker at Association of Imaging and Information Management (AIIM) webinars and the Defense Logistics Agency’s OpenText Users Group; Recipient of the Missile Defense Agency award for aggressive migration to MS-Sharepoint; Technical leader in secure data and information technologies; Government advisor on the MDIOC Data Warehouse/Lake project; Specialist in Internet of Things (IOT) technologies (Watson IOT, Amazon IOT, PTC/IOT, etc) and microservices.


1/18- Present; Owner/Founder and CEO/CTO; Lilliput Systems and Data Engineering; Pueblo & Colorado Springs CO

  • Established an Internet of Things/Network of Things consultancy to support the railroad industry's on-going transformation to using technology in operations, mechanical engineering, Research and Development, etc.
  • To guide users into IOT, established working relationships with PTC, Alexis, Amazon IOT to define and design the IOT architectures, communication protocols, cybersecurity/privacy protections, with end points of IBM Watson IOT.
  • Leverage years of data engineering ( data engineering = data strategy+data architectures+data management+data transformations+blockchain+AI) to avoid the change of meaning as content/context changes during data lifecycles.

6/15 –12/17;   Enterprise Data Architect & Practice Manager; ClearInfo LLC; Colorado Springs, CO &  Annapolis, MD (HQ)

  • Evaluated various BI/A (Business Intelligence / Analytics) products for potential acquisition by the Defense Logistics Agency (DLA); Developed and presented a product/capability roadmap with business solution recommendations for the DLA; Provided justifications of products that would integrate easily with the DLA Enterprise Architecture, and user interfaces that can be accessed via DoD credentials worldwide from DLA and non-DLA locations.
  • Represented ClearInfo and KPMG at 2017 DoD IOT Cybersecurity conference; Demonstrated connectivity of IOT devices to Cloud services (AWS, BlueMix) and cloud applications (Watson IOT, AWS IOT); Presented information to conference attendees about IOT’s cybersecurity challenges when mixed carriers and connections are used.
  • Provided support to KPMG (Prime Contractor) in their audit readiness deliverables for the DLA in response to the DoD FIAR (Financial Improvement Audit Readiness) mandates and guidelines; Reviewed DLA processes and extracted evidentiary matter (EM) created by the processes; Developed boilerplate briefing usable for soliciting FIAR opportunities within DoD; Assisted KPMG in FIAR briefing at the Association of Military Comptrollers conference.
  • Performed technical evaluations of ServiceNow product suite, Adobe Experience Manager (AEM) Forms, Adobe Document Protection, Alfresco Content Management System, Denodo Data Virtualization, Pyramid Analytics, Halo Supply Chain Intelligence, Amazon Web Services IOT, Microsoft Azure IOT, IBM Watson IOT, and Particle.IO IOT.
  • Provided support to teammates and prime contractor in the nuances of operating within the DoD world.
  • Assisted ClearInfo and KPMG in defining new DoD business opportunities: Developed briefing slides that KPMG could present as a testament of what can be done for the Missile Defense Agency; Provided text inputs and document reviews for DLA’s DACS RM re-compete RFQ response; Provided reviews and responses to Request For Information (RFI) from DoDEA (EARMS application) and US Forest Service.
  • Represented ClearInfo and KPMG’s FIAR support capabilities to DoD vendors at the 2016 US Space Symposium.
  • Installed OpenText Content Server 16 and AEM framework for a personal test environment.
  • Participated in the Transportation Financial Audit readiness efforts by collecting data from several DoD transportation organizations so a single Requirements document can be developed for all the DoD transportation organizations for collecting Key Supporting Documents (KSDs) into a single repository.
  • Established connection with MDA CIO’s Assistance and Advisory Services for a future capabilities road show to MDA and DLA on the ServiceNow Product Suite, with focus on the ServiceNow Project Portfolio Management Suite.
  • Developed a plan and marketing draft for how Adobe Document Protection can be used to safeguard documents with PII, PHI, CUI (Controlled Unclassified Info), other sensitive matters from accidental open exposure.

8/04 – 5/15;      Deputy CIO for Info Mgmt/Governance; Missile Defense Agency (MDA); Schriever Air Force Base, CO; Department of Defense 

  • Government Project Champion for implementing a Business Intelligence capability that incorporates the Big Data technologies of Hadoop, Yarn, and Hive as components of an enterprise data hub/warehouse infrastructure.
  • Government Project lead for migrating from OpenText eDocs to OpenText Content Lifecycle Manager
  • Provided Information Management (IM) /Governance leadership for the MDA Chief Information Officer; Coordinated IM solutions with peer-level Enterprise Architecture, Operations, Plans and Policies, and Information Assurance.     
  • Additional roles of MDA’s Chief Privacy Officer; DoD Data/Information Sharing Liaison; Enterprise Applications Manager; Chief of Records Management; Section 508 Lead; Paperwork Reduction Act Officer; and Civil Liberties POC; plus, Contracting Officer Representative (COR) for an MDA contractor; and Program Manager for 3 others.
  • Managed several MDA Information Technology (IT), Information Management (IM) and Data Management (DM) programs and projects: Records Management in coordination with the National Archives Records Administration; DoD Privacy Act Compliance in coordination with the DoD Privacy and Civil Liberties Office; Information Assurance security compliance per Federal Information Security Management Act (FISMA) and Defense Information Assurance Certification and Accreditation ; Section 508 in coordination with the DoD Section 508 Office; Enterprise Applications and Systems; DoD Information Sharing and Metadata Registration; and MDA Mobile Computing.  
  • Managed a team of 4 government personnel, and provided leadership to a contractor staff of 9 System Engineers, 25+ software engineers, 4 help desk personnel, 4 user registration personnel, and 15+ integration engineers located in MDA’s Colorado Springs CO, Washington DC, and Huntsville AL facilities.
  • Responsible for development, deployment, operations, performance and support of the Enterprise and data Applications on MDA IT platforms; with cross-technology (applications, networks, systems) helpdesk support.
  • Deployed and responsible for managing MDA’s web-enabled, enterprise applications and systems: electronic tasking (E-Stars); MDA Knowledge Online (MKO) intranet portals (SharePoint); MDA Public Website; records management (OpenText Content Lifecycle Manager); data management discovery, registration, and reuse (Roschade); data network monitoring (Arcsight, HP Openview); Identity Role-Based Access Management (CoreID); centralized Project Management (MS-Project Server); and, Learning Management (Plateau).
  • Directly managed the data Extraction, Transformation, and Load (ETL), plus integration into MDA custom enterprise applications, of data hosted at multiple geographically dispersed locations and from external data providers.
  • Led a Data Management team in defining data schemas/models for integrating enterprise data sources; engaged data discovery applications to locate data sources; data model; developed workflows solutions based on the logical and physical data model; registered data assets to MDA data standards registry; developed the Agency Data Model; incorporated and deployed data search tools for discovery of unauthorized databases for eventual consolidation into the central database cluster.
  • Responsible for Disaster Recovery / Continuity of Operations (DR/COOP) of enterprise applications and systems.
  • Member of the Enterprise Architecture team responsible for details of the data systems architecture integration.
  • Managed developing the MDA Records Management Policy and Procedure documents; MDA Records Disposition Schedule; MKO Governance and MKO Content Style Guidelines; Software Development Standards Life cycle processes (SDLC); network outage support processes; Privacy Compliance, and Section 508 compliance.
  • Completed for NARA review the Missile Defense Agency Record Disposition Schedule (RDS), and received approval from NARA for the file-plans for the MDA-Specific 900 (technical) records.  
  • Developed interagency agreements (IAA) for: outsourcing of the web-enabled training system (Natl Technical Info Service); desktop project collaboration (Joint Forces Command): and, for records services provided by NARA.
  • MDA CIO’s liaison to several DoD working groups: Mobile Computing; Information Sharing; and Metadata. 
  • Certified in ITIL (Information Technology Infrastructure Library) V3 Service Management frameworks.
  • Familiar with data collection and data processing architectures in the areas of “big data” (unstructured and distributed data using applications such as Hadoop), and High Performance Computing (HPC) including memory, storage, parallel processing, computing and graphical Processing, plus software applications (such as CUDA).
  • Participated on the evaluation board and committees for the source selection of 4 government contracts*; followed the Federal and Defense Acquisition Regulations, plus the Agency’s Source Selection policies and procedures *(Merge of 2 legacy contacts into a single contract, with a single, new contractor; Selection of a Prime Contractor for developing a proof-of-concept Decision Support System; Selection of the prime contractor of the CIO’s Technical Services staff; Selection of the new Prime Contractor to manage the MDA Internal business portal). 

 6/03 - 8/04       Senior Enterprise Data Analyst; MDA Sys Engineering & Tech Assistance Support; Milestone Group, LLC; Arlington, VA, US          

  • Provided Systems Engineering and Technical Data and Information Management support to the Missile Defense Agency CIO office in development and deployment of enterprise-wide portals and applications.
  • Represented the Government in deploying several solutions for the Information/Data Management section of the MDA CIO organization; Guided deployment of the initial MDA enterprise-wide intranet portal and records management systems

12/02 - 6/03     Engineer 5 / Data Architect; Northrop Grumman Mission Systems; Colorado Springs, CO

  • Redesigned the Integration Data Center’s (IDC) web-accessible, database-hosted Data Cataloging system; added maintainability features & enhanced the user interface to reduce efforts required to catalog the IDC’s data assets.
  • Developed the web-enabled and Oracle database-hosted Registration System for requesting access to the Missile Defense Agency (MDA) data located at their data centers across the US; incorporated security features to block unauthorized access;  developed automated routines for notifying sponsors & registrars of new request; enabled on-line approval/rejection of registration requests; designed tools & reports for  maintaining registration details.
  • Attended training on the Popkin Software Systems Architecture, which is used to produce standardize Enterprise Architectures in adherence to the DoD (C4ISR)
  • Architecture Framework; Assisted the Joint National Integration (JNIC) in their activities of incorporating the JNIC processes into the MDA Enterprise Architecture.

1/02 - 6/05;       Project Director & Information Systems Architect;  Transportation and Industrial History Foundation, Inc; Pueblo, CO   

  • Member of the organizing board of directors (BOD) for a new non-profit organization (NPO) dedicated to restoring, preserving, and storing historically significant artifacts; developed the Transportation and Industrial History Foundation's (TIHF) Articles of Incorporation & by-laws, for approval by the BOD; developed the business plan for negotiating the purchase of a $17 Million self-contained facility spanning 10 acres in size; developed the project plans for moving over $1M worth of heavy-industry tools from California to Colorado, & for out-fitting the facility; Developed & presented the Foundation's goals & objectives to civic & business leaders, for acquiring start-up and on-going operational funds.
  • Developed the Information systems architectures and strategies for the Foundation, & several other NPOs in the Pueblo area; developed portals for the Pueblo Locomotive & Rail Historical Society, & the Bessemer (steel manufacturing) Historical Society; designed the data structures for integrating & centralizing the operational data residing per the Generally Accepted Accounting Principles (GAAP), & artifact collection records, data standards; Developed integration architecture & data standards for the Foundation's subordinate organizations.

7/00-1/02         Tech Manager / Integration Architect / Developer; Advanced Technical Solutions (ATS) Consulting; Oracle Corporation; Denver, CO

  • Member of consulting “swat” team focused on eBusiness and eCommerce solutions; Developed business and technical architectures & solution blueprints for Oracle customers, detailing the design and development of Oracle-based eBusiness (iProcurement, Oracle Exchange) solutions to gain efficiencies & expand their markets; Developed engagement & project plans, & end-to-end technical architectures, for integrating Oracle database (8i, 9i), portal (9i Applications Server (9iAS) Portal), integration (9iAS Oracle Applications Interconnect), & application (Oracle R11i ERP/CRM) products, with other vendor solutions (WebMethods, Vignette, SAP, etc.) & integration methodologies (XML, JMS, etc.); Uncovered new technical & business requirements, and solution opportunities, not previously known to the customers; Recommended optimal consulting services & product solutions; Incorporated these solutions into the engagement plans & budgets; Resolved engagement issues.
  • Designed, developed, tested, and validated a WIN2000 and a Unix hosted Integration Toolkit; Utilized the Oracle 9i Application Interconnect (OAI) product set, Oracle PL/SQL, and Java, for integrating the Oracle ERP products to non-Oracle Applications (SAP, Siebel, JD Edwards); Specifically developed the end-to-end integration of the Oracle Customer Model / Trading Community Architecture (TCA) from the Oracle R11i Accounts Receivable application to other Oracle applications (Order Management, Procurement) & non-Oracle Applications (SAP, Siebel, JD Edwards); Designed and validated the data transformations for using non-Oracle products (WebMethods, Vignette, etc.) as part of the toolkit.
  • Provided eBusiness and database security technical (Oracle Label Security, Oracle Internet Directory (LDAP)) training to consulting peers via internal webcast.
  • Integrator for Oracle’s iDiscovery Architecture & Blueprint (A&B) process version 2.0; Co-presented the training to Oracle Consulting managers & consultants within the US & Latin America; Mentored other consultants in extrapolating technical requirements from business needs, developing the technical architectures, compiling the engagement budget, creating the engagement plan, & staffing Oracle Consultants to the stages of the project plan.    
  • Developed Oracle Business Model (OBM) process flows for Oracle’s Marketplace Exchange (OEX); Created a web-enabled index of the process flows, with hyperlinks by message names & process functions; Presented an overview of OBM methodology to Oracle Consulting managers & consultants.
  • Developed and delivered an Oracle Portal Business & Technical overview to the CIO and data center staff of large insurance company (American General).
  • Developed Supply Chain EDI (Electronic Data Interchange) message flows for Oracle Supply Chain Exchange (OSX); translated these flows into technical & integration requirements.
  • Developed sample & reference business and technical architectures & blueprints for Oracle Marketplace Exchange (OEX), and for a sample non-profit organization.
  • Developed a “white paper” on using OAI to support Data Standardization within Local, State, & Federal Government.
  • Resource for Oracle Federal Consulting Advanced Technology Group, for a classified account.

9/98-7/00         Principle Program Manager/Advisor; TRW Systems & Information Technologies; TRW Corporation; Schreiver AFB, CO

  • Senior Technical Manager & Data Systems Integrator for the Ballistic Missile Defense Organization’s (BMDO) multiple-contractor staffed (Raytheon, ITT, TRW, Sparta, etc.) Ballistic Missile Defense Simulation Support Center (BMD SSC) at the Department of Defense's (DoD) Joint National Test Facility (JNTF).
  • Responsible for Data Architectures & Data Exchange Standards for web-based delivery of BMDO data assets on the applicable classified & non-classified networks; Maintained proper adherence to DoD requirements for data separation & security.
  • Member of DoD Semi-Structured Metadata Working Group, sponsored by Mitre Corp & the Defense Information Systems Agency (DISA); Represented BMDO & JNTF issues in XML exchange standards at the periodic working group meetings. 
  • Responsible for integrating BMDO missile test & evaluation (T&E), and model & simulation (M&S), data received in various scientific (HDF, FITS, etc.) & classified (USMTF, TADIL-J, etc.) data formats.
  • Assisted in the transition of the classified BMDO Virtual Data Center (VDC) from the Naval Research Lab (NRL) to the BMD SSC; Assisted in marketing the VDC to the BMDO organizations (Missile Defense Data Center, Air Force Research Lab, etc.), & their Aerospace & Defense contractors (Boeing, Lockheed-Martin, etc.), in attendance at an American Institute of Aeronautics & Astronautics (AIAA) conference (security clearance was required).
  • Responsible for the BMD SSC Metadata Catalog database & schema, developed on Oracle8 using Oracle Designer; Guided database schema to development & operational releases; Assisted in load, verification, & validation of initial metadata onto the classified and non-classified networks.
  •  Incorporated Public Key Infrastructure architectures in accessing missile data via web-browsers; Used access “keys” to restrict users to authorized data, & for monitoring and identifying access patterns.
  • Developed proof-of-concept & first production release, of PL/SQL and Oracle Application Server web-based Metadata Catalog queries, including multiple drill-down layers & data extracts from external data repositories; Presented query capabilities to BMDO, National Missile Defense (NMD), JNTF, and BMD SSC officials and contractors; Trained initial set of users.
  • Developed initial database design, & the proof-of-concept web-based queries, for the BMDO Models & Simulation Resource Repository; Assisted MSRR Subject Matter Expert in integrating the BMDO MSRR with the Army, Air Force, & Navy MSRRs, in conjunction with the Defense Modeling & Simulation Organization (DMSO).
  • Co-manager of the database development team of: an Oracle DBA, Oracle Application Developers, & a Data Modeler; Mentored the team on database schemas, normalization techniques, & data standards, for optimal development of web-based database applications. 
  • Manager of the TRW contract personnel within the BMD SSC; Counseled employees as required; Addressed & resolved project issues.
  • Founder & chairperson of the JNTF Data Standardization Forum for adherence to the DoD Data Standardization Directives; Provided training on Data Standardization to JNTF & BMDO personnel.
  • Provided consulting help to BMDO, JTAMDO (Joint Theater And Missile Defense Organization), JNTF Program offices (Theater And Missile Defense Integration, Joint Technical Architecture, War Game 2000), & JNTF-resident defense contractors in database designs, data transportability, data interchangeability, & data integration, as per the Defense Information Architecture Common Operating Environment (DII COE) Shared Data Environment (SHADE), & Joint Technical Architecture (JTA) guidelines.

6/96-9/98;         Program Manager/Technical Specialist; Worldwide Customer Support Operations; Oracle Corporation; Colorado Springs, CO

  • Developed the Oracle IntraWeb-based, dynamic World-Wide Customer Support (WCSS) Metadata Dictionary, using a blend of HTML & PL/SQL; Developed & defined several new metrics for measuring Support performance; Developed the "WCSS Data & Information Standards Manual" documenting the data & metric definitions; Received WCSS commitment for globally implementing the Metadata Dictionary & the Handbook; Initiated WCSS cross-group inputs for the Dictionary.  
  • Developed the Oracle IntraWeb-based "Customer-At-A-Glance Report", heavily used by Oracle Account Managers.
  • Assisted the Oracle Global ("ATLAS") Program in specifying metric definitions, & definition formats.
  • Developed the methodology of measuring Support performance to guidelines as the sum of all Support involvement.
  • As a charter member of Oracle WCSS's "North America Metrics Initiative, Business Operations and Reporting Group", provided Support for data collection & information extraction, plus identified numerous Support process improvements.

PRIOR INDUSTRY EXPERIENCE (Available upon Request)


3/69-3/72 United States Marine Corps (USMC); Sergeant (E-5)

  • Provided administrative support to 4th Marine Division Headquarters Battalion Command staff in managing troops deployed and returning from Viet Nam
  • Supervised & controlled administrative operations of a USMC Reserve Center
  • Provided logistical & Administrative support to the Commanding Officers of the Reserve Units located at this center
  • Supervised operation of the 4th Marine Division printing & publication center


  • University of Southern California; Colorado Springs, CO [Satellite Campus]. Master of Science of [Organizational] Systems Management. Focus on Information Systems. (1986-1988)
  • University of Colorado; Colorado Springs, Colorado. Bachelor of Science in Business. Focus on Information Systems, and Organizational Development. (1980-1985)
  • Cuyahoga Community College; Cleveland, Ohio. Associate in Science in Electronic Engineering Technologies. (1972-1974)


  • Amazon Web Services (AWS) Technical and Business Partner Accreditations
  • Information Technology Infrastructure Library (ITIL) V3 Foundations
  • Defense Acquisition Specialist Level I; Defense Acquisition University
  • National Information Exchange Model (NIEM); Department of Defense
  • Service Now Technologies: Administration, and Integration Certificates
  • American Society of Military Comptrollers (ASMC)
  • Simulations Interoperability Standards Organization (SISO)
  • Data Warehouse Institute

Copywrite 2018 Lilliput Systems and Data Engineering