Data Quality · Data Engineering

The Pipeline Ran Green, the Numbers Were Wrong Data quality for data engineers

Break six failures live, watch revenue go wrong on screen, then catch each one with a simple SQL check.

A job can finish with "success" and still hand the dashboard wrong numbers. In this live session we build a small pipeline in five minutes (source, clean, table, dashboard), then break it six ways while the job still says success: duplicate orders, late orders, a column renamed upstream, missing amounts, half the rows lost, and yesterday's file that never arrived. We catch each one with a simple SQL check, then make the job fail loudly or set the bad rows aside instead of passing wrong numbers on. It is built the way Module 03 of Cohort 4 builds production pipelines.