Session

Building Enterprise ETL Pipelines That Scale with Azure Data Factory and Databricks

Building reliable ETL pipelines involves much more than moving data from one system to another. This session explores proven design patterns for developing scalable, maintainable, and production-ready data pipelines using Azure Data Factory, Azure Databricks, Python, and SQL. Through real-world examples from healthcare, manufacturing, and higher education, attendees will learn how to design resilient pipelines, improve data quality, optimize performance, and simplify operational monitoring.

Pratham Yadav

College of Southern Nevada, Data Engineer

Las Vegas, Nevada, United States

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