Summary
Owen Galvin is a pragmatic, product-minded data engineer with 11 years of experience building and productionizing data platforms for finance and analytics teams. Skilled in Python, SQL, AWS, Snowflake, Vertica and Spark, he focuses on early-stage data work—ingestion, ETL, EDA—and treats data quality as a first-class concern across the lifecycle. He brings software engineering rigor to researcher code, refactoring pandas workflows into maintainable, high-performance pipelines and mentoring others on best practices. A former PMP with a Harvard Extension Certificate in Data Science and AWS/Snowflake certifications, Owen pairs engineering chops with a clear eye for user needs, whether that means a polished dashboard or an “Excel good enough” deliverable. He also tinkers with NLP and human-augmented review tools (see his EDGAugmentor app) that blend Shiny, NLP, and pragmatic product design.
11 years of coding experience
18 years of employment as a software developer
NYU School of Professional Studies
edX
BA Double Major: Economics History, BA Double Major: Economics History at Binghamton University
Graduate Certificate in Data Science Data Science, Graduate Certificate in Data Science Data Science at Harvard Extension School