Harsh Sinha is an Azure Data Engineer with over three years of experience in building and optimizing end-to-end data pipelines on Azure Cloud. Currently employed at Tata Consultancy Services since 2022, Harsh specializes in designing scalable ETL workflows using Azure Data Factory, Databricks, and Snowflake, implementing Medallion architecture for efficient data transformation. Harsh has successfully processed large volumes of data, developed robust data models, and created analytics dashboards, enhancing data reliability and operational efficiency. Prior experience includes an internship at The Sparks Foundation, and Harsh holds a Bachelor of Technology in Information Technology from Techno Main Salt Lake.
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