How Testing Data Pipelines Prevents Costly Data Errors

In this episode, Lucas and Luna explore why data pipeline testing is often overlooked and how it can prevent multimillion-dollar errors. They discuss a case where a fintech company lost $2 million due to a pipeline bug that double-counted refunds, and share practical strategies like contract testing, schema evolution handling, and data quality assertions. Learn how to build confidence in your data flows.

#DataPipelineTesting #SoftwareTesting #QA #DataQuality #DataEngineering #Fintech #TestingStrategies #GreatExpectations #Kafka #SchemaRegistry #ContractTesting #DataIntegrity #ETL #TestingInProduction #FexingoBusiness #BusinessPodcast #Technology #SoftwareEngineering

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