You're working on a new integration pipeline and need a clear standard for how data quality should be handled from source to destination. The pipeline uses Airbyte for extraction and loading, with downstream transformations in dbt and reporting in a warehouse. The main concern is how to detect bad records, prevent duplicate loads, and keep trust in synced data without slowing delivery.
What standards do you follow for ensuring data quality in integrations?
