Led a 6-person team to build Affirm’s first-generation Data Lake (Apache Iceberg), saving $2M/year, accelerating batch pipelines by 40%, and improving dataset availability by 67%.

Migrated from AWS Redshift to Snowflake, cutting costs by 75% ($800K → $200K annually) and ensuring reliability ahead of peak BFCM (Black Friday / Cyber Monday) 2020 traffic.

Solely architected an analytics (DBT) platform running 350+ datasets with CI/CD and monitoring, enabling 30+ analysts to set up in 10 minutes (vs. 2 days), automate weekly deployments (vs. 6 hours), and prevent SLA breaches from broken models.

Taught Introduction to Relational Databases (CPSC 304).

Built a Scala service to validate 400,000 SQL queries against bi-weekly PrestoDB upgrades to detect backwards compatibility breaks and performance regressions.