SAI TEJA CHAKKA

I've built and modernized production data platforms at Tiger Analytics and MAQ Software, using Azure Data Factory, Databricks, PySpark, and SQL to deliver reliable analytics pipelines.

At Tiger Analytics, I led a migration from Databricks Hive Metastore to Unity Catalog, redesigned market-level access with row-level security, and reduced data storage by approximately 50% through centralized UC-managed tables. I also built reusable reconciliation and data-quality frameworks that improved validation accuracy by 30% and eliminated more than 60% of manual verification work.

At MAQ Software, I migrated a legacy on-premises project to Azure and improved overall pipeline execution time by 365%. I developed parallel Azure Data Factory pipelines for more than seven heterogeneous sources and received a Spot Award for ETL optimizations that reduced ingestion execution time by 30%.

I'm focused on secure, governed data ingestion, scalable lakehouse architecture, and practical automation that improves reliability, cost, and maintainability.