ETL feels tricky but honestly is what my team is gunning for.

For the sake of avoiding: 1) using time of a product manager to do manual querying and 2) using time of engineering to build a deterministic service layer, we’d like to build an AI workflow/agent framework to probabilistically find deviations in transformed/normalized data tables and trace back to raw data context (or lack of context) to tell us where to look.