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Code Review Checklist for Data Validation and ETL Frameworks

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A detailed checklist has been published to guide engineers during code reviews of data validation frameworks, ETL testing tools, and automated reconciliation systems. The guide highlights that subtle bugs in such codebases can cause silent pipeline failures, false positive test results, or unbounded SQL queries running against production warehouses. Key recommendations cover areas including SQL query safety, schema validation, environment isolation, secret hygiene, and memory management. The checklist also emphasizes consistent error handling, deterministic query ordering, and standardized output schemas to ensure reliable test reporting. It is intended for teams building or maintaining custom data frameworks who want more rigorous review standards than those typically applied to standard web applications.

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Code Review Checklist for Data Validation and ETL Frameworks · ShortSingh