Vignesh

If you had to choose one primary workflow for data quality checks:

A) SDK-first (Python, API calls)

B) UI-first (upload files, explore issues visually)

Curious how everyone here validates data today.

Do you use:

• custom scripts

• dbt tests

• Great Expectations

• nothing at all

• manual checks

What s working, what s painful, and what s missing?

Data engineers what s the worst silent data failure you ve ever dealt with?

Schema drift?

Null explosions?

Type mismatches?