How do you implement data quality checks in a data pipeline? What types of validations should run at each stage?

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Data quality checks at each pipeline stage prevent bad data from reaching reports and dashboards. A layered validation approach catches issues early when they are cheapest to fix and provides confidence that the final analytical data is trustworthy.