May 2025 – Present · 11 mos

• Member of BigQuery Data Transfer Service which is a managed, serverless, and automated service within Google Cloud's BigQuery that facilitates the movement of data from various sources into BigQuery. It enables users to set up recurring data loads without writing any code, simplifying the process of building and maintaining a BigQuery data warehouse.

Nov 2022 – May 2025 · 2 yrs 6 mos

Jul 2021 – Nov 2022 · 1 yr 4 mos

• Member of the Cloud Data Fusion team at Google, which is built using open source project CDAP, and this open core ensures data pipeline portability for users. CDAP’s broad integration with on-premises and public cloud platforms gives Cloud Data Fusion users the ability to break down silos and deliver insights that were previously inaccessible.
• It provides the ability to create an internal library of custom connections and transformations that can be validated, shared, and reused across teams. It lays the foundation of collaborative data engineering and improves productivity. That means less waiting for ETL developers and data engineers and, importantly, less sweating about code quality.