Data migration and optimize legacy orchestration workflows from Tidal to Control-M, improving efficiency and reducing manual intervention.
Monitor, research, analyze, and report problems to programmer or developer
Day to day administration of Control-M/EM Server and its components, production batch schedules and ensure continuity of business services.
Create new jobs in Control-M on Windows
Support the Control M Admin Team for Migrating the jobs
Manually create Control M jobs with the same functionality
Build and manage job flows, calendar requirements and scheduling criteria.
Passing parameters to Control-M job, creating job dependencies and alerts as per application team and business requirement.
Creating and Scheduling jobs on the Control-M tool in both Distributed and Mainframe Environment (Test and Production)
Develop automated testing scripts using Shell and Python to validate Control-M job functionality and dependencies across various environments (Test, QA, Production).
Implement Shell/Python scripts for automated deployment of Control-M job definitions and smart folders, ensuring consistent and error-free migrations between environments.
Using the Reporting Facility to create reports
Maintaining the shift turnover, which includes the current and the pending information from one shift to another.
Write Shell scripts to simulate various Control-M job failure scenarios during testing, ensuring robust error handling and alerting mechanisms were in place.
Support migration initiatives preparing for Helix Control-M adoption, including workflow analysis, automation standards, and SaaS-readiness validation.
Conduct proof-of-concept testing for Helix Control-M cloud integration with AWS-hosted workloads.
Support Agile ceremonies, embedding with teams to align batch workflows with business requirements.
Used Service Now for all scheduling requests for Production, Incidents, and Problem