Steven Kravitsky
Data Engineer
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolSteven Kravitsky is a data engineer with a decade of experience building cloud-native, full-stack data platforms that drive cost savings and operational clarity. At Goldman Sachs he led the global Vendor Data Catalog and architected ETL, API, and Snowflake integrations that turned fragmented vendor metadata into trusted, actionable assets used by divisional CFOs. He pairs strong Python and React chops with Kubernetes, DuckDB, and Snowflake to deliver scalable, maintainable systems and has repeatedly automated reporting to cut turnaround from days to near real-time. Steven also mentors and hires technical teams, runs campus recruiting, and has hands-on experience modernizing legacy codebases across languages and OSes. Now at Meta, he brings a proven track record of translating complex market data problems into standardized models and tooling that enable senior adoption and measurable savings. An economical problem-solver, he often surfaces business value through deceptively simple automation and thoughtful data modeling.
9 years of coding experience
8 years of employment as a software developer
Staten Island Technical High SchoolBachelor of Science (B.S.) Computer Engineering, Bachelor of Science (B.S.) Computer Engineering at Drexel UniversityEconomics, Economics at University of Pennsylvania
English, RussianProgramming languages (1)
Github contributions (5)
SKravitsky/resume
Mar 2021 - Apr 2024
Contributions:2 PRs, 17 pushes, 3 branches in 3 years 1 month
SKravitsky/ECEC412
Sep 2016 - Nov 2016
Contributions:15 commits, 10 PRs, 14 pushes in 2 months
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