Carlin Eng is a customer engineer and data infrastructure specialist with a decade of experience building analytics platforms, warehouses, and ML-ready pipelines across startups and large tech companies. He helped originate Strava’s data stack, led data engineering at Eppo where he built a warehouse-native A/B experimentation platform that was acquired by Datadog, and later product-managed Malloy—a query language aimed at improving analytics workflows—at Google and Meta. Carlin pairs hands-on engineering experience with product leadership, having driven sales and adoption at Snowflake with top quota attainment before moving into product and founding-engineer roles. Now at MotherDuck in San Francisco, he focuses on making data tooling more accessible and performant for analytics teams. Notably, his career blends deep technical work (from SQL-MR at Teradata to large-scale warehousing) with customer-facing roles that translate complex infrastructure into measurable business impact. He holds a BA/MS in Economics and Statistics from Stanford and consistently moves between building core data systems and shaping the products that expose them.
10 years of coding experience
14 years of employment as a software developer
Downingtown High School East
BA MS Economics Statistics, BA MS Economics Statistics at Stanford University
Translations of the TPC-DS benchmark queries from SQL to Malloy
Contributions:247 commits, 92 PRs, 188 pushes in 2 months
translationstpcsqlbenchmarkdatabase
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