Versatile Data Engineer and Analyst with a solid foundation in building scalable data pipelines, transforming raw data into actionable insights, and delivering business value through analytics. Skilled in the full data lifecycle—from ETL development and data modeling to advanced visualization—using tools like SQL, Python, Apache Spark (PySpark), and Power BI. Adept at bridging technical solutions with business needs, with hands-on experience across modern data platforms including Microsoft Fabric, Azure, SSIS, and Databricks.
Experience: 2 - 5 years
Experience: 5 - 10 years
Experience: 2 - 5 years
Experience: 5 - 10 years
Experience: 2 - 5 years
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