This practical ebook serves as a reference guide for building reliable, scalable, and governed data pipelines. It covers ingestion, transformation, orchestration, data quality, and governance best practices. The toolkit highlights modern pipeline patterns such as medallion architecture, batch versus streaming, and declarative pipelines. It also provides troubleshooting guidance, monitoring checklists, and recommendations for tool selection. Designed for hands-on practitioners, the ebook helps data engineers reduce operational overhead while improving pipeline reliability and performance.

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