CHAITANYA KRISHNAMA

With over 14 years of experience in ETL, business intelligence, and enterprise data quality assurance, I specialize in designing, implementing, validating, and optimizing large-scale data ecosystems that power strategic business decisions. My expertise spans the full data lifecycle from integration and transformation to testing, compliance, and reporting across highly regulated and data-intensive industries including finance, banking, healthcare, insurance, marketing/retail, and aviation. I’ve led critical cloud migration initiatives, transitioning legacy pipelines to modern platforms like GCP (BigQuery, Airflow), AWS (Glue, S3), and Snowflake, enhancing performance and reducing costs. My work has consistently focused on AI/ML-driven automation, observability, and regulatory compliance, ensuring robust data pipelines that meet business and federal standards. With a strong foundation in data science, cloud computing, and machine learning, I’ve built and tested scalable ETL frameworks that drive data accuracy, efficiency, and real-time insight generation. I’ve played a key role in identifying and resolving high-impact data discrepancies, streamlining workflows, and ensuring the delivery of reliable, business-ready intelligence through BI tools like Tableau, Power BI, and SAP BO. I’m passionate about fostering innovation in the data engineering space and contributing to initiatives that celebrate excellence in technology and analytics. As a collaborative leader and problem-solver, I continuously strive to push the boundaries of what’s possible with data.