Identify data quality issues on data ingestion pipelines with dbt and re_data

Learn how to detect data quality issues on your Airbyte syncs with re_data.

Intermediate

Madison Schott

updatedJune 29, 2026

connectors used

DBT

Now you are all set up to start monitoring and cleaning your Airbyte data using the re_data dbt package! These tools together provide a powerful start to ensuring you are ingesting the highest quality data. Airbyte provides reliable data to your data warehouse quickly while re_data helps to monitor and clean it at the source. This will help decrease downstream impacts within your data models. If you're looking to quench your thirst for learning, consider exploring our tutorial on SQL Data Cleaning for comprehensive insights.

Feel the spark of curiosity? Dive into this fascinating article exploring industry-proven best practices for designing a data ingestion pipeline!

If you want to easily try out Airbyte, you might want to check our fully managed solution: Airbyte Cloud. We also invite you to ‍join the conversation on our community Slack Channel to share your ideas with thousands of data engineers and help make everyone’s project a success!

About the Author

Madison Schott

Madison Schott is an Analytics Engineer, author of The ABCs of Analytics Engineering book. Madison blogs about the modern data stack on Medium and writes a newsletter on Substack.

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