N I K H I L Y A D A V
M A I N F R A M E D E V E L O P E R
C O N T A C T
*****.**********@*****.***
www.linkedin.com/in/nikhil-yadav23
AJAY KUMAR GARG ENGINEERING
COLLEGE, GHAZIABAD
Information & Technology
E D U C A T I O N
S K I L L S
JCL
COBOL
DB2
CICS
VSAM
P R O F I L E S U MMARY
Mainframe Developer with 4 years in Banking domain with experience of designing, coding, and maintaining COBOL applications in z/OS environments. Proficient in JCL, DB2, and CICS, with a strong focus on optimizing performance and ensuring system reliability. Adept at collaborating with cross-functional teams to deliver high-quality, scalable mainframe solutions.
WORK E X P E R I E N C E
TATA CONSULTANCY SERVICES 2020 - PRESENT
COBOL Upgrade Project
Decommission Project 2023 - 2024
Automation Project 2021- 2023
Upgraded batch, online, and DB2 programs across 12 mnemonics to COBOL 6.4, improving performance and compliance. Analyzed and tested upgraded programs to ensure seamless functionality and system compatibility.
Managed change requests via ServiceNow, ensuring efficient tracking and implementation.
Implemented an MDM database, replacing legacy CIF databases to ensure data consistency and accuracy.
Collaborated with cross-functional teams to analyze data structures and integrate the MDM database across mnemonics. Tested and validated programs to ensure seamless functionality with the new MDM system, enhancing data management. Automated 1000+ JCLs across six mnemonics by transitioning to CA7 scheduling, reducing processing time and errors. Optimized job dependencies and schedules, improving operational efficiency and workflows.
Documented processes and trained onshore and offshore teams, ensuring a seamless transition to automation.
T O O L S
ENDEVOR
CA-7
FILEAID
TSO/ISPF
Abendaid
(MAINFRAME DEVELOPER)
Online Banking Application - 2020 - 2021
Production Support
Monitored batch job performance, resolving issues to minimize downtime and improve application reliability.
Collaborated with teams to implement process improvements, ensuring efficient scheduling and SLA adherence.
2024 - Present
2016 - 2020