As a skilled Azure Data Engineer, I specialize in orchestrating end-to-end ETL processes using Medallion architecture and leveraging a wide array of Azure tools to build robust, scalable data pipelines. My expertise includes designing and implementing automated data workflows using Azure Synapse Analytics, Serverless SQL Pool, Azure Data Factory, and Azure Databricks to efficiently integrate data from diverse sources (such as Oracle, MS SQL Server, and files) into modern data warehouses.With a strong foundation in SQL, Python, and PySpark, I focus on optimizing performance and scalability through innovative solutions, including storing data in ADLS Gen2, transforming it into Delta Lake format, and utilizing advanced techniques like versioning and time travel capabilities for data management. I’ve successfully built the Gold layer for business-specific insights and have been instrumental in developing dataflows and PySpark notebooks for data transformation and cleaning, ensuring high-quality, actionable datasets.In addition to my technical skills, I bring strong data modeling expertise, including designing star schemas and managing Slowly Changing Dimensions (SCDs) to support accurate reporting. I also possess a deep understanding of MS Fabric and have optimized complex SQL queries for diverse business use cases, enabling efficient data retrieval and providing insights that drive key business decisions.Collaboration is central to my approach, and I work closely with Data Scientists and Data Architects to ensure alignment between engineering solutions and analytical needs. My ability to communicate effectively and be a team player allows me to work across different functions, ensuring smooth project execution and successful outcomes. Additionally, I maintain comprehensive migration documentation and ensure smooth knowledge transfer within the team.I’m passionate about driving data engineering solutions that empower organizations to make data-driven decisions and achieve business objectives.