In regulated industries, data quality, compliance, and governance must be enforced continuously—not just audited periodically. This session introduces a practical framework to codify data contracts and embed compliance rules directly into CI/CD pipelines using large language models (LLMs). It will explore how enterprise data teams can shift compliance left by integrating AI to detect schema drift, policy violations, and lineage gaps in real time.

Real-world examples from financial services will illustrate how LLM-driven metadata enforcement and automated validation workflows reduce audit risk and ensure data integrity at scale. The session also highlights scalable implementation strategies using GCP BigQuery, Spark, and Airflow, with a focus on cost-effective governance.