At Warner Bros. Discovery, I architected a Databricks feature tracking warehouse using dimensional modeling. Its automated daily refresh helps 5–10 teams analyze more than 30 features and supports product investment decisions.
I optimized Databricks and Snowflake pipelines with SQL and Python, processing more than 10 million records daily and improving cost efficiency by approximately 20–30%.
I also developed an automated executive reporting pipeline that distributes HTML and PDF reports weekly to more than 20 stakeholders. It eliminated over 10 hours of manual report compilation each week.
Earlier, at Worisgo, I designed multi-source data integration pipelines using Python and SQL and built Power BI dashboards. My work also includes Looker dashboards and KPI design for product metrics.
