Mathew George is an experienced reporting and program manager with 11+ years in project and program delivery, currently leading reporting at NTT DATA from Cary, NC. He has steered large-scale migrations and data platform implementations—most recently managing an 80TB Teradata-to-Snowflake migration with 4,000 ETL jobs and thousands of reports across global teams. Comfortable in both Agile and Waterfall environments, he combines client-facing negotiation skills with hands-on technical oversight of ETL, BI and analytics toolchains. His public-sector tenure includes mission-critical court systems supporting tens of thousands of users, where he led statewide data conversions, integrations and enterprise DR readiness. Beyond management, he has contributed backend improvements to the NSF-backed Expertiza education platform, improving topic selection and sign-up workflows. He pairs an engineering background and an MBA with a track record of delivering fixed-price, distributed projects on time and on budget.
11 years of coding experience
23 years of employment as a software developer
Bachelor of Technology (BTech) Mechanical Engineering, Bachelor of Technology (BTech) Mechanical Engineering at College of Engineering Trivandrum
Master of Business Administration (MBA), Master of Business Administration (MBA) at North Carolina State University - College of Management
Expertiza is a web application through which students can submit and peer-review learning objects (articles, code, web sites, etc). The Expertiza project is supported by the National Science Foundation.
Role in this project:
Back-end Developer
Contributions:5 commits, 1 PR, 2 comments in 3 days
Contributions summary:Mathew primarily focused on modifying the sign-up sheet functionality within the Expertiza application. Their contributions involved refactoring code related to suggested topics, intelligent topic selection, and rendering participant information within the sign-up sheet interface. The changes touched upon helper functions, views, and JavaScript files, demonstrating work on the application's backend logic and user interface components. These changes likely aimed to improve the user experience and optimize the topic selection process.
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