Edmund Yan is an engineering manager and former data engineer with 14 years of experience building billing, data infrastructure, and ETL systems for large-scale SaaS and payments platforms. Currently leading Datadog’s Metering Platform, he combines hands-on data engineering (counting things and turning them into billable metrics) with team leadership to deliver auditable, production-grade metering and billing pipelines. His background spans migrations to modern cloud data warehouses (Redshift→Snowflake), event-driven S3 data lakes, and robust CI/SDLC for data pipelines across companies like Venmo, WeWork, and Datadog. Edmund is noted for automating data access governance and embedding data quality checks into pipelines—practical work that reduces friction between engineers and analysts. Based in the Bay Area, he holds a BS and MS in Computer Science from UC Davis and brings a pragmatic blend of backend, data, and operational expertise to revenue-facing systems.
14 years of coding experience
9 years of employment as a software developer
B.S., Computer Science, B.S., Computer Science at University of California, Davis
dbt (data build tool) enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Contributions:7 pushes, 6 branches, 4 tags in 1 year 6 months
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