Peter Grivas Email & Phone Number

Washington, District Of Columbia, United States

• Project » Defense Healthcare Management Systems (DHMS), Enterprise Intelligence and Data Solutions (EIDS); Solutions Architect (07/22 – present)
• Lead a team of system and data architects to review, improve, develop, and document the architecture of the EIDS environment implemented in AWS with data inputs from 50+ external systems and organizations
• Partner with key stakeholders on architecture efforts with a goal to enhance visibility into system and data operations and to improve the ability for leadership to make strategic decisions
• Develop a custom architecture documentation tool using Diagrams as Code to provide rapid prototyping of diagrams and enable the auto-generation and export of hundreds of architecture and data flow artifactsProject ».
• This project consisted of 12 CVP team members with a goal of validating the results of Claims-Based Measure (CBM) calculations which are used for measurement and improvement of health care quality goals
• Led a team of developers and data scientists to develop processes to validate Claims-Based Measure (CBM) calculations using and automated validation and scoring engine to compare expected measure calculation results.

Washington D.C. Metro Area

• Technical lead on a Data Modernization project for CMS involving migration of terabytes of data to AWS (using S3, EC2, and EMR)
• Acted as a technical and user-experience expert on SAS Viya as part of the Data Modernization project transition from SAS 9.4 to SAS Viya
• Developed proofs of concept regarding the use of Robotic Process Automation (RPA) using UiPath which reduced the execution time for an existing process by 93%
• Reduced processing time for a CMS Healthcare Quality Analysis and Reporting (HCQAR) project from 21 days to under 3 days using MapReduce and Spark on Cloudera, parallellization, and a custom Python management system
• Acted as a Senior Programming Lead for a project supporting data analytics and reporting of medical claims information on the HCQIS Big Data Environment
• Designed and developed various proofs of concept in R showing different capabilities of R including geospatial mapping, machine learning/artificial intelligence, correlograms, lollipop charts, sentiment analysis, etc.

Washington D.C. Metro Area

• Advised startups and small/medium businesses with an emphasis on developing data and analytics processes and systems to drive positive business outcomes
• Wrote custom code in SQL (for SQL Server and MySQL) and R to perform data analysis and generate data extracts for custom analytics
• Used knowledge of data analysis and economics to help companies improve the efficiency of their operational processes
• Enabled business growth through efficient and effective use of scalable and interoperable data technology and analytics solutions
• Performed data integration using Talend to integrate publicly available source data into applications for custom analysis

Washington D.C. Metro Area

• Established the Enterprise Architecture practice and the Architecture Board, using the TOGAF 9.1 as the Enterprise Architecture Framework and ArchiMate 2.0 as the architecture modeling language
• Directed 5-person team to define data, application, and system architectures and partnered with business stakeholders to coordinate these activities with process design or re-engineering
• Researched, evaluated, and selected data, analytics, and software technologies (existing and emerging) that best fit business and IT strategic needs
• Participated as a key member of data governance activities, focused on making data an enterprise asset
• Developed the Enterprise Core Diagram and the Business Capability Model and worked with the Executive Leadership Team to adopt these strategic diagrams within the organization

Washington D.C. Metro Area

• Directed 35-person team to develop Medical Record Review (MRR), predictive analytics, and graphical data analysis and reporting systems, supported by a $3.5M departmental budget
• Designed and implemented the MORE2 (Medical Outcomes for Research on Economics and Effectiveness) data warehouse consisting of medical claims, diagnoses, labs, demographic, drug usage, and other medical information for.
• Performed custom data extracts and generated custom reports from the MORE2 data warehouse in support of data science and research team needs
• Worked with teams to develop custom data extracts using SQL and SQL Server Integration Services (SSIS) and to develop custom reports using SQL Server Reporting Services (SSRS)
• Redesigned the data integration practices, keeping in mind key strategic data management concepts such as data lineage and master data management
• Managed the implementation of Healthcare Effectiveness Data and Information Set (HEDIS) scoring rules which were applied against administrative and abstracted data to measure health plan performance on important.

Lansing, Michigan Area

• Designed and managed development for an ASP.NET/MS SQL Server web-based application for the management, storage, display, reporting, and export of medical chart review data in support of the Medical Record Review (MRR).
• Managed 6-person multi-state team responsible for application and database development, support, and infrastructure
• Designed a Windows client application for the collection of medical chart review data and oversaw the initial implementation of that application by a 3rd-party vendor
• Managed and supported the information systems for 80 full-time employees in 6 corporate locations and supported an additional 150 part-time medical review staff spread across 17 states
• Enabled the collection and abstraction of hundreds of thousands of medical charts between 2003 and 2006

Metro Detroit Area

• Supervised 3 developers working on projects as diverse as small websites, content management systems and large client-server applications
• Designed and coded applications using ASP and MS SQL Server
• Participated on client integration calls and onsite customer installations of dedicated data lines
• Provided network, server and desktop support to the organization

Master Of Science (M.S.), Applied Economics (Health Economics)

Bachelor Of Science In Engineering (B.S.E.), Computer Engineering

Cum Laude