Hybrid Mainframe-to-Cloud Systems Engineer

DINESH MEDIDI

*************@*****.*** +1-779-***-**** Dekalb, IL

SUMMARY

Systems Engineer with 4 years of experience in mainframe and cloud environments, specializing in bridging legacy systems with modern solutions. Dinesh engineered UNIX automation scripts at Infosys that cut operational handoffs by 40% and developed mainframe-to-cloud data replication pipelines to AWS S3, enabling near real-time analytics. Previously, he optimized COBOL integrations and JCL workflows, reducing batch cycle times by 25% for mission-critical financial workloads and improving maintainability by 40% through EZT to COBOL modernization. His work focuses on enhancing system performance, data accessibility, and operational efficiency through robust hybrid architecture.

SKILLS

Mainframe Systems & Engineering: JCL, COBOL, DB2, CICS, EZT (Easytrieve), VSAM, Batch Processing, Job Scheduling, Mainframe Performance Tuning, IBM z/OS, GDGs, BMS maps, IDCAMS utilities, Sequential datasets

Programming & Scripting: Python, Java, Shell Scripting, JavaScript, Bash, KornShell, UNIX, Linux, Windows

Databases & Data Management: SQL Server, MySQL, Oracle, SSIS, BCP, Data Reconciliation & Validation

Cloud & DevOps: AWS (S3, Lambda, EC2, API Gateway), Docker, Git, Hybrid Cloud Integration, REST APIs

Business Intelligence & Web: HTML, CSS, Tableau, SAP, Web Based Reporting Dashboards

SDLC & Methodologies: Software Engineering, Software Development, Agile, Analysis, Testing, Source Code Repository, Advanced Technology Adoption, SIT/UAT validations

XML & Documentation Tools: XML, XSD Validation, XPath, XSLT, Schematron, oXygen XML Editor, XML Content Management, Structured Documentation, Data Transformation, XML Parsing, Version Control, Data Validation, Technical Documentation

WORK EXPERIENCE

International Code council Illinois US

XML developer Apr 2026 - Present

• Worked on XML content modification and structured document updates using oXygen XML Editor following client publishing standards and schema requirements.

• Performed XML validation using XSD, Schematron, XPath, and XSLT to ensure accurate document structure and data consistency.

• Managed amendment updates, insertions, deletions, and formatting changes in large XML files while maintaining version control and content integrity.

• Created and updated XML templates and reusable components to improve publishing efficiency and reduce manual editing efforts.

• Collaborated with content teams and developers to troubleshoot XML validation issues and resolve formatting inconsistencies.

• Automated XML data checks and transformation processes using Python and XSLT, improving processing accuracy and reducing manual effort.

• Supported large-scale XML conversion and migration projects for digital publishing and enterprise document management systems.

• Maintained documentation for XML workflows, validation procedures, and content update standards for internal teams.

• Worked with structured data and metadata integration across different systems to support digital transformation initiatives.

• Ensured XML files complied with client standards, accessibility requirements, and publishing guidelines before final delivery.

Infosys Hyderabad, India

Systems Engineer Oct 2021 - Oct 2023

• Engineered UNIX based access and automation scripts that interfaced directly with Mainframe JCL jobs in an agile environment, reducing operational handoffs by 40% and improving system accessibility for business users.

• Developed Python and JavaScript data validation utilities to perform pre- and post batch testing checks on Mainframe outputs, increasing data accuracy confidence by 30%.

• Designed and deployed Tableau dashboards and lightweight HTML interfaces to monitor batch job execution, file transfers, and SLA adherence, improving operational visibility and reducing incident response time.

• Automated real time front end alerts for JCL and COBOL batch failures, cutting manual monitoring effort.

• Built web based control tools that triggered COBOL batch execution via APIs, demonstrating software development capabilities and effectively bridging modern web systems with legacy Mainframe environments.

• Optimized reporting interfaces that consumed Mainframe flat files (VSAM/Sequential datasets) and rendered actionable insights in user friendly UIs.

• Architected and optimized JCL workflows orchestrating complex COBOL batch programs, ensuring high throughput, fault tolerance, and predictable execution windows.

• Led large scale EZT to COBOL modernization efforts, creating automated analysis and conversion utilities that reduced manual refactoring effort by 35% and showcased advanced technology adoption.

• Developed resilient DB2 batch utilities for table management and bulk data loads, improving load performance and system stability under peak volumes.

• Enhanced COBOL programs by optimizing I/O strategies, memory allocation, and dataset access patterns, reducing overall batch runtime by 25%.

• Engineered automated data reconciliation frameworks to validate Mainframe outputs against SQL Server loads, strengthening cross platform data integrity.

• Implemented cross system job scheduling and dependency management, aligning Mainframe batch execution with downstream enterprise systems.

• Designed Mainframe to cloud data replication pipelines leveraging SQL Server bulk import utilities and AWS storage services, enabling near real time analytics.

• Automated nightly Mainframe flat file transfers to Amazon S3, ensuring consistent data availability for analytics and reporting teams.

• Deployed secure API gateways to expose Mainframe data to distributed cloud native applications.

• Containerized auxiliary tooling using Docker, simplifying Mainframe data access and testing for developers.

• Integrated AWS Lambda functions with SQL Server replication workflows using an event driven framework to automate monitoring and exception handling, reducing operational overhead.

• Enabled hybrid workload observability, allowing cloud based dashboards to consume and visualize Mainframe system logs and metrics.

Aspire Spaces Hyderabad, India

Mainframe developer Jun 2018 - Jul 2021

• Engineered high volume batch processing systems using COBOL, JCL, and DB2 on IBM z/OS, supporting mission critical financial workloads processing millions of records daily and ensuring 99.9% SLA compliance.

• Orchestrated complex JCL workflows with advanced scheduling, GDGs, conditional logic, and restart/recovery strategies, reducing production abends by 30% and improving batch reliability across enterprise systems.

• Optimized COBOL integrations with VSAM (KSDS/ESDS), Sequential datasets, and DB2 tables, redesigning I/O access patterns to decrease batch cycle time by 25% and improve throughput under peak volumes.

• Tuned DB2 stored procedures and utilities using indexing strategies, RUNSTATS, query optimization, and isolation level controls, accelerating data processing performance by 35% and reducing lock contention.

• Delivered high performance CICS online transactions leveraging COMMAREA and BMS maps, enabling real time screen to database processing and improving transaction response times by 20%.

• Modernized legacy Easytrieve (EZT) reporting modules to COBOL, automating code analysis and refactoring efforts, reducing technical debt and improving maintainability by 40%.

• Implemented automated cross platform reconciliation frameworks between Mainframe DB2 and SQL Server, strengthening data integrity controls and reducing manual validation effort by 50%.

• Enhanced mainframe performance through buffer tuning, dataset allocation optimization, SORT parameter refinement, and memory management improvements, cutting overall system runtime by 20%.

• Administered VSAM configurations and IDCAMS utilities for dataset lifecycle management, ensuring high availability, efficient storage utilization, and zero data loss incidents.

• Automated proactive monitoring and alerting for batch jobs and CICS regions, decreasing incident resolution time by 35% and significantly improving SLA adherence.

• Enabled hybrid integration by designing secure mainframe to cloud flat file transfers and orchestrated workflows, improving downstream analytics data availability by 40%.

• Drove end to end SDLC execution within Agile frameworks, producing technical design documentation, executing SIT/UAT validations, and delivering defect free production releases with improved deployment efficiency.

PROJECTS

Air travel Data Dashboard

• Designed and delivered an interactive Tableau dashboard leveraging Excel based flight datasets to analyse air travel patterns and passenger flows. Identified seasonal demand trends and high traffic routes, enabling data driven decision making and improving stakeholder understanding of travel dynamics.

Ecommerce Reports Dashboard

• Developed a Tableau dashboard using Excel based ecommerce data to map revenue and units sold across countries. Provided clear visualization of geographic performance that empowered stakeholders to optimize regional marketing strategies.

EDUCATION

Northern Illinois University Dekalb, IL

Master’s, Management Information Systems Jan 2024 - Dec 2025

• GPA: 3.7

Sagi Rama Krishnam Raju Engineering College

Bachelor’s, Civil Engineering Jan 2017 - Dec 2021

• GPA: 73.4%

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