Summary
David Schott is a Staff Data Engineer based in San Francisco with 11 years of experience building large-scale data platforms, ETL pipelines, and data warehouses. He has led mission-critical migrations and optimizations—moving over a petabyte to BigQuery, cutting pipeline costs by $7M annually, and designing CDC systems to ingest hundreds of production tables. At Etsy he owned the nightly Spark pipeline that sessionized billions of events and enabled thousands of downstream analytics and ML jobs, and later ran technical direction for Foursquare’s Places product to unify POI data from diverse sources. Now at Grant Street Group he focuses on data warehouse, dbt, and Tableau workflows while continuing to mentor engineering teams and institutionalize postmortem-driven learning. Known for combining hands-on systems engineering with cross-functional leadership, he’s equally comfortable debugging distributed jobs as he is shaping product-ready data architectures.
11 years of coding experience
19 years of employment as a software developer
MSCE, Computer Engineering, MSCE, Computer Engineering at Santa Clara University