Develop enterprise-level data engineering skills by building a complete, production-quality ETL pipeline. Over 6 hours of intensive guidance, we’ll build and implement a sophisticated data pipeline that extracts from multiple sources, performs complex transformations, and loads into target systems. You’ll learn data modeling, incremental loading strategies, error handling, monitoring, testing, and deployment using Python, SQL, cloud platforms, and orchestration tools. Perfect for analysts transitioning to data engineering or building advanced portfolio projects.
Includes:
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Design and build production ETL systems
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Connect multiple data sources
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Priority live support + revisions
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Data validation and quality checks
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Complete pipeline documentation
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Deployment and monitoring setup
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