Data-Quality

Data quality is one of those problems that every data team hits eventually. Bad data sneaks in, pipelines produce wrong numbers, and stakeholders lose trust. The usual response is to reach for a heavyweight framework — but sometimes you just need something simple that does the job without pulling in half the ecosystem.