DoorDash
Merchant telemetry, experimentation platform, and live-cluster pipelines
Five years embedded in DoorDash's merchant and consumer pods. I led the merchant telemetry overhaul, partnered to build the experimentation platform and council, and owned core ETL pipelines in Snowflake, Databricks, and Airflow.
Problem
Merchant telemetry was fragmented and not trusted. A/B testing had no consistent framework, and the segmentation pipelines could not keep up with real-time clustering.
Approach
I overhauled the merchant telemetry schemas and ingestion, partnered to build the experimentation platform, and ran the measurement QA process. I designed the segmentation and live-cluster pipelines and owned the Segment source of truth. I also ran A/B and difference-in-differences experiments.
Outcome
Telemetry that teams across the org trusted. An experimentation platform and council, built with partners. Live-cluster pipelines in production. Dashboards in Sigma, Tableau, and Mode for merchant and ops teams.