With 16 years of IT experience, I specialize in legacy mainframe modernization, helping enterprises transform, optimize, and migrate mission‑critical workloads to modern cloud-native platforms. My expertise spans rehosting, refactoring, reverse engineering, and end‑to‑end migration of large-scale mainframe systems across AWS and Azure ecosystems. I have led and delivered complex modernization programs involving: Mainframe Rehosting & Migration Rehosting IBM mainframe workloads to Micro Focus Enterprise Server on AWS. Migrating mainframe applications to Raincode on Azure Cloud, ensuring compatibility, performance, and operational stability. Modernizing legacy components through deep reverse engineering and transforming them into scalable, event-driven architectures. Cloud-Native Refactoring & Data Modernization Refactoring mainframe components into modern Apache Airflow DAGs, deployed in AWS environments. Building cloud-native orchestration pipelines leveraging AWS services including EMR, SQS, SNS, S3, VPC, Event Manager, RDS, and Secrets Manager. Migrating mainframe TAPE data into optimized Parquet formats and storing them in Amazon S3 to enable analytics and downstream processing. End-to-End Modernization Engineering Designing distributed, resilient workflows replacing legacy batch processes. Deep technical experience in mainframe systems, COBOL, JCL, job orchestration, scheduling, and data pipelines. Ensuring seamless modernization with focus on performance, scalability, cost optimization, and cloud best practices. I bring a combination of mainframe depth and cloud modernization expertise, enabling organizations to shift from monolithic, legacy environments to modern, scalable, and cloud-native architectures with minimum risk and maximum business value.