You're supporting a pipeline that appears healthy from an infrastructure perspective. Airbyte connections are running, records are landing in the destination, and sync jobs are completing without obvious failures. But business users say the data is unusable because reports do not match expectations, fields are confusing, or key workflows still depend on manual fixes.
What would you do if a customer’s data is technically syncing but the business users say it is unusable?
Diagnosing data quality issues beyond pipeline uptimeSeparating raw Airbyte sync success from usable business outputsDesigning ELT layers and business-friendly data modelsUsing orchestration and validation to catch semantic failures