I am a passionate and results-oriented Big Data Developer with 3+ years of experience in building and optimizing data pipelines and implementing end-to-end data engineering solutions. Skilled in both on-premise and cloud-based Big Data frameworks, I have a proven track record of leveraging technologies like PySpark, Azure Databricks, Azure Data Factory, Azure Data Lake Storage, and HDFS to deliver scalable and high-performance solutions. My expertise lies in cloud migrations, ETL development, and data processing, helping organizations unlock the full potential of their data through real-time analytics and data-driven decision-making. I have successfully optimized queries and enhanced data processing speeds, resulting in significant cost savings and improved operational efficiency. Key Skills: 1. Data Engineering & Big Data: PySpark, Azure Databricks, Azure Data Factory, HDFS, Hive, Delta Lake 2. Cloud Technologies: Azure Synapse Analytics, Azure SQL Database, Azure Data Lake Storage 3. ETL & Data Pipelines: Data Integration, Data Transformation, Batch Processing, Real-time Data Processing 4. Programming & Data Structures: SQL, Python, Data Structures & Algorithms 5. Tools & Platforms: Git, GitHub, Azure DevOps, Jira, Confluence 6. Methodologies: Agile, Scrum, CI/CD 7. Data Analytics & Warehousing: Data Modeling, Star Schema, Data Delivery 8. Operating Systems: Linux, Windows With hands-on expertise in transforming complex data workflows into streamlined, efficient systems, I focus on optimizing data systems for scalability, flexibility, and high availability. Passionate about leveraging Azure and cloud computing to solve complex data challenges, I continuously strive to stay updated with the latest technologies in the industry.