Aditya Kalia is a Lead Data Engineer with seven years of experience designing and scaling data infrastructure, ETL/ELT pipelines, and analytics platforms from the ground up. He led data engineering at Pinto through rapid productization and acquisition, and now builds platform-level data capabilities at Sourcegraph where he contributes across the stack—recently enhancing event logging and telemetry for the Code AI/Cody ecosystem. Comfortable with Apache Spark, Python, data warehousing and real-time dashboards, he has a track record of turning messy, multi-source data into reliable analytics used by enterprise customers like Whole Foods and Kroger. He combines hands-on implementation with product thinking, having shipped analytical products and BI tooling that democratize insights company-wide. A Waterloo engineering alum based in San Jose, he enjoys “moving data around” and pairs that curiosity with practical automation that reduces operational friction.
7 years of coding experience
3 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.) Engineering/Industrial Management, Bachelor of Applied Science (B.A.Sc.) Engineering/Industrial Management at University of Waterloo
Contributions:125 reviews, 2 commits, 59 PRs in 7 days
Contributions summary:Aditya focused on enhancing the event logging functionality within the Sourcegraph platform. Their work involved adding new fields like `originalReferrer`, `sessionReferrer`, and `sessionFirstUrl` to events, ensuring proper data collection. They modified the `EventLogger.ts` file to handle referrer and URL retrieval and added corresponding fields to the `internal/usagestats/event_handlers.go` file and `cmd/frontend/graphqlbackend/user_usage_stats.go` to support these changes. The user also made updates to the Cody search page and feedback mechanisms, indicating full-stack involvement.
Contributions:23 commits, 11 pushes in 2 years 3 months
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