Big Data Engineer with 3.4 years of experience designing, developing, and optimizing large-scale data pipelines and ETL workflows. Skilled in Hadoop, Spark (PySpark), Hive, and SQL, Azure Data bricks with proven expertise in data processing, performance optimization, and automation. ✅ Experienced in job scheduling (Control-M), code deployment (Git & Azure DevOps), and troubleshooting data workflows to ensure high availability and reliability. ✅ Strong background in the banking and finance domain, delivering accurate data solutions and actionable insights to support business decisions. ✅ Passionate about leveraging big data technologies to improve efficiency, scalability, and data-driven outcomes.