Evan Schechter is a Principal Data Engineer based in San Francisco with nine years of experience building reliable ETL systems and data infrastructure, currently designing Arbol’s data architecture and APIs for climate and weather data. He moved from leading a team back into an individual contributor role to focus on hands-on engineering, continuing to author core ingestion pipelines that feed risk and analytics systems. Prior roles include maintaining mission-critical financial ETLs at Knoema, where he automated pipelines and managed cross-stack integrations during a merger, showing strong operational rigor. Evan pairs a mathematics BA and early research experience with practical production skills, bringing analytical depth to data modeling and pipeline reliability. He has a track record of translating complex environmental data into usable APIs and databases for downstream products. Colleagues value him for shipping dependable systems under tight operational constraints and for the uncommon combination of research-grade math training with day-to-day data engineering craft.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA Mathematics, Bachelor of Arts - BA Mathematics at Pomona College
Contributions:5 reviews, 153 commits, 74 PRs in 1 year 5 months
pythonqueryingpython-client
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