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END-TO-END AZURE DATA ENGINEERING PROJECT

  1. Used the AdventureWorkBookLT2017 Database for this project.
  2. Built a complete Data Pipeline solution using Azure technologies.
  3. Utilized Azure Data Factory, Azure Databricks, Azure Storage gen2, Synapse Analytics, and Power BI for data ingestion, transformation, analysis, and visualization.
  4. Implemented Azure Active Directory (AAD) and Key Vault to ensure secure data access and governance within the pipeline.
  5. Leverages Azure Data Lake Storage Gen2 for scalable data storage.