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Python for Data Engineers
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The Python for Data Engineers skill path focuses on leveraging Python’s powerful libraries and frameworks to handle data ingestion, transformation, and analysis at scale. It covers key tools like Pandas, SQLAlchemy, PySpark, and Airflow for data pipelines, ETL processes, and automation. This skill set enables data engineers to build efficient, scalable data workflows for analytics and machine learning applications.