
Netflix
Senior Software Engineer, Product Data Systems Apr’22 – Ongoing * Responsible for the source of truth for all offline and online impressions at Netflix, overseeing data integrity, scalability, and accessibility. This involves collaborating with cross-functional teams to address diverse data needs and driving execution of all strategic initiatives to support personalized recommendations and enhance the user experience. * Reduced latency by 47% for online impressions by transitioning to a microservices model and adding a cache layer * Managing and overseeing data pipelines processing billions of data points daily to ensure seamless operation Senior Software Engineer, Personalization Data Engineering Apr’22 – Aug’24 * Investigated, compared and classified the impression data quality changed by migrating impression data sources from processing server logs to client-device event capture. This led to 13.9% increase in data quality * Developed an audit job along with dashboard and alerts that monitors server-side impression logs ensuring high data quality by catching regressions 24 hours earlier * Developed an endpoint that provides aggregated impressions counts spanning over different time windows including a year by utilizing a hybrid model of using batch and online computations together



