Mainframe Batch Operations Production Support

SWATHY S S

MAINFRAME BATCH OPERATIONS PRODUCTION SUPPORT

Trivandrum, Kerala, India +91-759**-***** *****************@*****.*** PROFESSIONAL SUMMARY

Mainframe Batch Operations and Production Support professional with 4 years of experience supporting IBM z/OS batch processing in an enterprise production environmentint in QBE Insurance Project .Skilled in 24*7 batch-cycle monitoring, job scheduling, JCL and job-log analysis, abend troubleshooting, job restart and rerun, SDSF, TSO/ISPF, ESP, Control-M, and IBM Utilities. Experienced in incident and change management, system health checks, job dependency monitoring, SLA-focused operations, and coordination with application, database, and infrastructure teams. Also brings complementary skills in Python, SQL, data analysis, and data visualization, supporting a structured, analytical approach to operational monitoring and problem investigation. TECHNICAL SKILLS

Mainframe & Operating Systems: IBM z/OS, TSO/ISPF, SDSF, HMC Batch Scheduling & Monitoring: ESP, Control-M, batch-cycle monitoring, job scheduling, job dependencies, job status tracking,Production batch support,BMC Remedy

Job Troubleshooting: JCL analysis, job-log and system-message analysis, abend investigation, job restart/rerun, job cancellation IBM Utilities & Platforms: IBM Utilities, dataset allocation, file validation, data transfers, CICS, DB2 Production Support: Incident management, change management, SLA management, system health checks, root cause analysis, shift handover, DR support

Data Analysis & Programming: Python, SQL, Pandas, NumPy, data cleaning, exploratory data analysis (EDA), statistical analysis Reporting & Visualization: Power BI, Matplotlib, Seaborn, data visualization, reporting ML & Productivity Tools: Scikit-learn, TensorFlow/Keras, Jupyter Notebook, Google Colab, GitHub, Generative AI fundamentals ITSM & Collaboration: ServiceNow, Remedy, cross-functional coordination, knowledge transfer, Agile collaboration PROFESSIONAL EXPERIENCE

Infra Managed Service Analyst Accenture, Bengaluru, Karnataka December 2022 – Present Enterprise Mainframe Production Support

• Monitor daily and monthly IBM z/OS batch cycles, tracking critical jobs and workflows to support timely execution and SLA compliance.

• Investigate job failures and abends by reviewing JCL, job logs, SDSF output, and system messages; perform approved restarts or reruns and escalate issues when required.

• Manage batch jobs through ESP, including submission, hold, cancellation, restart, and monitoring of job status, dependencies, and execution timelines.

• Use TSO/ISPF and IBM Utilities for dataset allocation, file checks, data transfers, and routine mainframe operations.

• Perform system health checks and batch-cycle verification; monitor CICS and DB2 alerts and coordinate follow-up actions with relevant support teams.

• Collaborate with application support, DBAs, and infrastructure teams during production incidents to support troubleshooting, recovery, and root cause analysis.

• Follow incident and change management processes using ServiceNow and Remedy, maintaining ticket updates and supporting timely resolution and closure.

• Support Disaster Recovery (DR) drills and IPL activities, validating critical batch processes and system stability following recovery.

• Prepare shift handover reports and share operational knowledge to support continuity across global support teams.

• Handle ad hoc job requests based on customer requirements and support job monitoring and operations in Control-M environments. CERTIFICATIONS

• Certification in Control-M SaaS Operations and Scheduling — BMC

• BMC Course: Control-M SaaS Fundamentals

• Operating Reinvention with Agentic AI — Learning Program Certificate

• Data Science with Generative AI — Entri Elevate (in collaboration with Illinois Tech, USA, NSDC), May 2026 EDUCATION

Master of Computer Applications (MCA)

APJ Abdul Kalam University, Trivandrum, India June 2022 GPA: 8.8/10 Bachelor of Science in Physics

Kerala University, Kollam, India June 2019 GPA: 8.3/10 ADDITIONAL STRENGTHS

Time management Teamwork Communication and coordination Analytical problem-solving Process-oriented approach Continuous learning

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