Data Engineering Weekly

Why the shift from human-operated to agent-operated data warehouses demands a new architecture

More ETL pipelines will run in 2027 than in any year in history. AI will generate more extraction jobs, more transformation logic, and more loading routines than any team of data engineers could write by hand. The volume of ETL will explode.

And ETL is still dead.

Not dead the way Latin is dead — no one speaks it. Dead, the way landlines are dead — they still work, millions exist, but nobody builds their communication strategy around one. ETL is dead as the defining work of data engineering. Dead as the thing we hire for, build careers around, and organize teams to do. The pipelines keep running. The professional identity built around them does not survive.