Build, maintain, and optimize reliable data pipelines and workflows using Python and SQL. Implement automated testing, data-quality checks, schema migrations, and version-controlled changes. Support data lake/warehouse (S3, Athena/Glue, Postgres/Aurora), CI/CD and containerized deployments, monitoring, and production support. Collaborate with analysts, engineers, and client teams to deliver documented, trustworthy data solutions.

Paid fall internship supporting the football coaches division: manage coaching requests and databases, review coaching contracts, assist client marketing and media materials, input coaching/personnel data into AI-powered databases, and support assigned projects while maintaining confidentiality.

Contribute to sports sponsorship valuation and analytics: create and manage databases, collect and analyze data, conduct market research, evaluate partnerships, support cross-functional teams, and help implement AI/GenAI automation workflows to optimize sponsorship strategies.