Experienced DataStage Developer with over 12 years of expertise in designing, developing, and optimizing high-performance ETL solutions across various industries, including financial services, automotive, and healthcare. Proficient in IBM Infosphere DataStage, Mainframe COBOL, Python, PySpark, and cloud-based data solutions (AWS, Snowflake), with a strong track record in transforming legacy systems to modern architectures, improving efficiency, and enhancing data processing workflows.
Skilled in automating ETL processes, troubleshooting complex data issues, and providing 24x7 production support. Experienced in designing end-to-end data integration solutions that consolidate data from multiple sources, enabling business intelligence and reporting. Adept at working with cross-functional teams to gather business requirements, translating them into actionable technical solutions, and driving continuous improvement initiatives. Known for taking ownership of large-scale migration projects, streamlining processes, and reducing operational costs through automation and cloud integration.
Throughout my career, I have played a pivotal role in leading data migration projects, improving data quality, and ensuring regulatory compliance through optimized ETL and reporting solutions. I thrive in dynamic environments, continuously enhancing my technical skill set, and leveraging industry best practices to deliver scalable, high-performance data integration systems.