Agentic Data Engineering Is Here — But Can It Close the Loop?

AI can now write SQL, generate Python, review pull requests, and build entire applications with a few well-crafted prompts. Yet despite all of that progress, data engineering still feels oddly resistant to the full AI revolution. Pipelines break. Data models drift. Production data needs validation. Someone still has to close the loop.
In this episode of the Data Engineering Central Podcast, I sat down with Hugo Lu, founder and CEO of Orchestra, to talk about what “agentic data engineering” actually means beyond the buzzwords. Rather than another conversation about AI replacing engineers, we…