At Google, I harmonized 30+ data centre dashboards across multi-terabyte datasets, reducing average query time by about 35%. I also automated alert triage and resolved critical production incidents, helping keep analytics pipelines reliable.
I developed BigQuery ML models to forecast supply chain on-time delivery metrics for Google's data centre logistics team, improving prediction accuracy by 25%. I also deployed LLM-driven workflows for data analysis and intelligent query generation.
At Atlassian and Fidelity Management & Research, I enhanced a treasury analytics application and architected Spark SQL and CI/CD pipelines that increased processing throughput threefold. Earlier, I worked on Oracle, PL/SQL, ETL, and data quality projects across banking, technology, and supply chain environments.

