The Team That Automated Themselves Out of Firefighting

A data team spent 60% of their week doing the same manual tasks - and nobody questioned it for two years.

The reason nobody questioned it? “It’s too messy to automate.” I’ve heard that sentence kill more productivity than any technical debt. It sounds reasonable. The tasks have edge cases. They need human judgment. They’re “just how we’ve always done it.”

A team I worked with finally measured it. They tagged every Jira ticket as “reactive” or “proactive” for one quarter. 60% reactive. Manual metadata updates. Lineage documentation nobody wanted to do. Quality reports assembled by hand every Monday morning.

Then they automated three things: metadata synced from the catalog, lineage updates triggered by pipeline runs, quality reports generated from existing test results. Nothing fancy. No ML. Just scripts and scheduling.

Time-to-resolution dropped significantly. 200+ hours freed per month across six engineers.

But the part I didn’t expect was morale. People stopped dreading Mondays. The repetitive grind was gone. They started proposing new data products instead of patching old ones.

“Too messy to automate” is rarely true. It’s usually “too familiar to question.”

What’s the task your team calls too messy to automate - but secretly just hasn’t tried?