As a Data Engineer with hands-on experience in designing and developing data solutions, I specialize in building scalable data pipelines, optimizing ETL processes, and integrating data from multiple sources. I have expertise in tools such as PySpark, Azure Data Factory, AWS Redshift, and Databricks, and I am adept at implementing data models, optimizing performance, and ensuring data accessibility. My experience spans diverse industries, including retail, insurance, and banking, where I have successfully worked on data integration, reporting, and compliance-driven projects.