Designed and implemented data import for new data types (Custom User Params/ User Data) in the latest iteration of Google Analytics. Wrote Integration/ Load Testing, and dashboards for tracking user metrics.

Migrated Data Import connectors to a new backend in unified infra. This service has a DAU of 7K. Added alerting for migrated customers along with Diff testing, release procedures and on-call playbook.

Managed interns during summers to deliver various projects related to Data Import/ BQ Export.

Designed and Implemented large-scale, distributed, low-latency pipelines using C++, Flume and Conduit Data Processing that processed 25% of total Google Analytics traffic.

Added Reprocessing support for Bigquery Export and associated auto-validation framework. This decreased the effort required for Bigquery-only export from O(weeks) to O(hours).

Reduced turnaround time for curation from around 24 hours to less than an hour by creating an alternate human assisted process.

Designed and developed API's to communicate between applications providing low-coupling and high-cohesion.

Improved and refactored existing services to provide better runtime performance.

Integrated Pendo Analytics to various applications. Tagged pages and features for robust analytics collection to aid analytics team.