I am a passionate Data Engineer with extensive experience in building and optimizing scalable data pipelines, cloud integration, and real-time data processing. My expertise spans across tools such as Azure Data Factory, Databricks, Apache Kafka, and Spark, where I focus on delivering efficient data solutions that drive business insights. Currently working in the insurance domain, I specialize in end-to-end data architecture, implementing incremental data loading, managing large-scale datasets, and ensuring smooth data flows from various cloud and on-premises sources to data lakes and warehouses. I also have hands-on experience with CI/CD pipelines, leveraging Azure DevOps for seamless deployment and version control. Skilled in Python, SQL, and big data technologies, I am committed to continuous learning and improving my expertise in cloud computing, data engineering best practices, and advanced analytics.