Chandrahasa Kancharla

I’m an Analytics Engineer with 10+ years of cross-industry experience at the intersection of data engineering and business intelligence. I specialize in transforming raw cloud-warehouse data into clean, tested, performant models that power self-service analytics for large internal user bases.

I treat SQL as a craft and pipelines as software—bringing strong focus to model correctness, query efficiency, and building datasets non-technical stakeholders can actually understand and trust. My work combines advanced SQL, Python-based ETL automation, dimensional data modeling, and BI enablement across Power BI, Looker, and Tableau.

In my current role as a Senior Data Analyst (Resources Global Professionals, Google DATS Team), I own the transformation layer for Google Payments compliance analytics. I build and maintain SQL and Python pipelines, design and maintain dimensional models and operational metrics dashboards, and engineer production-grade SQL/Python for fraud detection, transaction monitoring, and regulatory-compliance triggers with data-quality checks.

I’ve also implemented vector search (k-NN and ANN) to accelerate retrieval and enable anomaly detection at scale, and I apply data mining, optimization, statistics, and machine-learning methods to deliver actionable, business-focused solutions. Earlier, as a Senior Software Engineer, I led analytics and full-stack data lifecycle improvements for Google Maps and delivered a web application using ASP.NET, C#, and MySQL.