Paul D Wenig

Led an agency data warehouse application supporting tracking and analysis across websites. Managed ETL workflows processing 10M+ records daily and delivered new ingestion/parsing/storage features for APIs including Google Analytics v4 and Sprinklr. Refactored core components to improve performance and updated the application from Ruby 2.7.6 to 3.0.3. Used AI coding tools to speed feature development, improve code review efficiency, and reduce debugging time across complex ETL logic.

Managed eight developers/designers and contributed as part of a distributed digital innovation team building user-focused applications for USCIS. Delivered features supporting the internal EB-5 adjudication application and improved accuracy/compliance for the I-526 form. Maintained secure, up-to-date Rails dependencies and contributed to ongoing modernization efforts while coordinating across a team of engineers and designers.

Worked with multiple organizations as a developer on existing teams and as a sole developer. Focus included modernizing and maintaining web applications, designing/testing/deploying advanced features, and improving performance and security. Leveraged AI-powered development tools to speed delivery while maintaining strict adherence to target architecture and best practices. Examples include accelerating modernization of a core Rails application into a scalable Java stack for a national lab client, adding cost-tracking and API integrations for training scheduling and content/CMS workflows, and building a greenfield analytics tagging application for Viacom’s data sciences division.