As an experienced Azure Data Engineer with 10 years of expertise, I have worked extensively with a wide range of technologies and completed 8 end-to-end data engineering development projects. My proficiency lies in:

• Databricks: Utilizing Azure Databricks for data processing, analytics, and machine learning tasks, enabling efficient data manipulation and analysis.

• Data Lake, Datafactory, and Python: Working with Azure Data Lake to effectively store and manage large volumes of structured and unstructured data, ensuring scalability and cost-effectiveness.

• SQL and SQL Server: Demonstrating a strong command of SQL queries and optimization techniques, utilizing SQL Server as a reliable relational database management system.

• Tableau and Power BI: Leveraging Tableau and Power BI to create insightful visualizations and interactive reports, facilitating data-driven decision-making.

• SSAS (SQL Server Analysis Services): Designing and implementing multidimensional and tabular models using SSAS, empowering businesses with powerful analytical capabilities.

My extensive experience and successful completion of end-to-end data engineering projects showcase your ability to handle complex data tasks, including data ingestion, transformation, modeling, integration, and building scalable data pipelines. With a comprehensive understanding of the Azure ecosystem and a solid foundation in data engineering principles, I bring a valuable skill set to any data engineering endeavor.