• Led data engineering for A/B experiment monitoring service used by product managers, engineers and data scientists to determine if mobile and backend experiments cause unintended regressions in key company metrics (Python, SQL)
• Wrote and maintained ETLs processing billions of rows daily (Python, SQL)
• Built and maintained internal operational and financial analytics dashboards used by 1000+ of global employees weekly (R/Shiny, Python, SQL)
• Established framework and reporting to quantify the quality of mobile experiments (R/Shiny, Python, SQL)
• Led data effort to identify and remove unneeded or stale feature/experiment flags across all company repos