Freecodecamp: Data Engineering with Python and AI
Learn how to build modern, scalable data pipelines using Python and AI-assisted tools. This hands-on tutorial starts from the basics of data ingestion and takes you all the way to advanced techniques in data loading, transformation, deployment, and automation.
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Extract and normalize data from APIs and databases with minimal code
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Handle incremental loads, backfilling, and slowly changing dimensions (SCD2)
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Manage schema evolution and enforce data contracts
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Deploy pipelines using tools like Crontab, GitHub Actions, Airflow, and Dagster
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Load data into warehouses, databases, and data lakes
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Leverage Large Language Models (LLMs) to generate pipelines and documentation
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