Autonomous Data Engineering: Agentic AI for Self-Healing ETL Pipelines

ABSTRACT

Data engineering teams spend the majority of their time fixing broken Extract, Transform, Load (ETL) pipelines caused by upstream schema changes or data drift. We introduce ADEPT (Autonomous Data Engineering and Processing Tool), an Agentic AI framework designed to monitor, debug, and rewrite data pipelines in real-time. By granting specialized agents read-access to data warehouse logs and write-access to orchestration tools like Airflow, ADEPT autonomously identifies schema mismatches, writes the necessary SQL/Python patches, and resumes failed jobs. In our enterprise case study, ADEPT resolved 88% of data pipeline incidents without human intervention, drastically reducing data downtime.