A highly motivated Databricks Data Engineer with proven expertise in building, scaling, and optimizing robust data pipelines and ETL solutions using Azure Data Factory. Possesses strong hands-on experience with Azure Databricks, Synapse Analytics, and Azure Data Lake Storage, enabling the delivery of efficient and reliable data architectures. Holding multiple certifications, including Databricks and Azure Data Engineer Associate, with a demonstrated ability to streamline complex data workflows and improve processing performance by up to 40% while maintaining high standards of data governance and security. Skilled in diagnosing and resolving pipeline performance issues to ensure stability and efficiency, while working closely with cross-functional teams such as data architects, analysts, and business stakeholders to deliver impactful, data-driven solutions. Proficient in PySpark, SQL, and Python for data transformation, analytics, and engineering tasks, contributing to scalable and maintainable systems. Experienced in implementing CI/CD practices using Azure DevOps to automate deployments and enforce data quality. Driven by a strong commitment to continuous learning, actively leveraging modern Azure technologies to solve complex business problems and support strategic decision-making.