Key Achievements and Responsibilities:>Led the extraction of logs from diverse data sources using Azure Data Factory, ensuring seamless integration and data flow.>Designed and implemented a Delta Lake architecture on Azure Data Lake Storage Gen2, structuring data into Bronze, Silver, and Gold layers to improve data accessibility and management.>Transformed raw data into refined datasets using Databricks and Synapse Analytics, ensuring a 50% increase in data accuracy and reliability during the migration from Bronze to Silver layers.>Integrated the Gold layer with Power BI, delivering real-time, actionable insights that empowered stakeholders to make informed business decisions, resulting in enhanced operational efficiency.>Automated and optimized data workflows leveraging Azure Databricks, Synapse Analytics, and ADLS Gen2, achieving a 25% reduction in operational costs and a 20% improvement in data processing performance.>Streamlined CI/CD pipelines using Azure DevOps, improving deployment efficiency and reducing turnaround times.>Applied robust data governance practices with Databricks Unity Catalog, minimizing data-related issues and ensuring compliance.>Provided technical mentorship to junior engineers, enhancing their expertise in Azure services and fostering a collaborative team environment.Technologies Used:Apache Spark, Azure Data Factory, Azure Data Lake Storage Gen2, Databricks, Synapse Analytics, Power BI, Databricks Unity Catalog, Azure DevOps, CI/CD

Key Achievements and Responsibilities:>Developed and optimized 30+ data pipelines using Azure Data Factory, significantly improving data integration and enabling real-time processing within Azure Data Lake.>Architected scalable and secure data storage solutions on Azure Data Lake, efficiently managing terabytes of data while enhancing data security and accessibility.>Built real-time workflows using Databricks Lakehouse, leveraging Python Spark and SQL to accelerate machine decision-making processes and improve data processing efficiency.>Designed and maintained 15+ interactive dashboards using Databricks SQL Warehouse, delivering actionable insights that enhanced business intelligence and informed strategic decision-making.>Enhanced data warehousing capabilities with Azure Synapse Analytics, utilizing Dedicated SQL Pools to boost query performance and streamline data analysis.Technologies Used:Apache Spark, Azure Data Factory, Azure Data Lake Storage Gen2, Databricks, Databricks SQL Warehouse