Build a robust Python ETL pipeline with data validation, incremental loading, error recovery, and monitoring for production data workflows.
## CONTEXT Data pipelines are the backbone of modern data-driven organizations, yet studies from Fivetran and Monte Carlo Data show that 44% of data engineers spend more than half their time fixing broken pipelines rather than building new ones. Poor error handling, missing data validation, and lack of incremental…
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