<p>Are AI agents silently draining your cloud data budget? With the rise of consumption-based pricing and autonomous AI queries, data teams are facing a perfect storm of skyrocketing costs and operational chaos. In this episode, I sit down with Sanjay Agrawal, CEO and Co-founder of Revefi, to discuss the intersection of data engineering, cloud warehouse optimization, and FinOps in the age of AI.We chat about how legacy on-prem habits are bankrupting modern data platforms, why query optimization is more about ROI than just speed, and how AI agents are changing the landscape of data consumption. Sanjay shares his deep expertise from building world-class databases at Microsoft and ThoughtSpot, revealing how to automate cost management and performance tuning for Snowflake, Databricks, and BigQuery.Key Topics:</p><ul><li>The evolution of cloud data warehouse pricing and why it breaks traditional budgets.</li><li>How AI agents are causing massive, unpredictable spikes in compute spend.</li><li>Real-world horror stories of ""lift and shift"" cloud migrations.</li><li>Why database benchmarks focus on speed but ignore the actual ROI of data.</li><li>The future of open table formats (Iceberg) and multi-engine routing.</li></ul>