Jeffrey Wan
Data Engineer Internal Tools Engineer
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolJeffrey Wan is a data and internal tools engineer based in New York with 11 years of experience building production-grade ETL/ELT pipelines, trading tooling, and deployment infrastructure across fintech, e‑commerce, and edtech. He combines a trader’s quantitative instincts from a background in HFT and proprietary trading with hands-on engineering—designing data models for trading capital, ingesting on-chain and exchange data, and automating CI/CD for deployed Docker workloads. At Hinge and Nascent he scaled Airflow/Redshift pipelines, introduced DBT/Great Expectations for data quality, and replaced third‑party ELT with robust home‑grown systems. He’s comfortable across the stack: Python, Kubernetes, Docker, cloud services and building internal BI layers that empower analysts and traders alike. A former professional poker player, he applies game-theoretic reasoning and Bayesian thinking to product requirements and data validation, which often uncovers subtle failure modes before they occur.
11 years of coding experience
9 years of employment as a software developer
Postbac Mathematics, Postbac Mathematics at University of California, BerkeleyMandarin, Mandarin at East China Normal UniversityMaster's degree Data Science, Master's degree Data Science at Johns Hopkins Whiting School of EngineeringHigh School Diploma, High School Diploma at Hunter College High SchoolBA Philosophy, BA Philosophy at Amherst College
Chinese
Stackoverflow
11,379reputation
989kreached
12answers
667questions
Github Skills (137)
metadata10
declarative10
rake10
javascript10
factories10
bull10
feature-toggle10
feature-flags10
api10
flipper10
rollout10
postgresql-database10
aws-lambda10
typescript10
serverless-framework10
Programming languages (8)
Github contributions (5)
oorion/opportunity_at_work
Apr 2015 - May 2015
Contributions:30 PRs, 105 pushes, 31 branches in 15 days
Jwan622/configs
Mar 2016 - Apr 2021
Contributions:2 pushes, 1 branch in 5 years 2 months
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