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Which best practices do you follow to build robust & extensible ETL jobs?
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Share your best practices for designing robust and adaptable data pipelines that consistently perform well and can handle future changes effectively.
Especially while working in environments where data failures are expensive and incorrect data has massive negative impacts.
What are the design principles you've found helpful, what about the QA , versioning & change management. How do you document everything above! 👨💻
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