Ritik Kesharwani

About

  • Age: 23
  • Phone:+91 9595040523
  • City: Pune, India
  • Degree: Bachelor of Engineering (B.E.)
  • Branch: Computer Engineering
  • Email: ritikkesharwani3@gmail.com

  • I am a skilled technical professional with a strong background in automation and troubleshooting With expertise in Shell scripting and Python programming.
  • I have developed an impressive portfolio of automation solutions that have significantly reduced manual efforts and improved productivity.
  • My work includes an auto healing script for a CICD tool's infrastructure server, a plugin that automated proxy whitelisting from pipelines, an alerting system for CICD infrastructure alarms, and a monitoring solution that displays pipeline build failures on AWS CloudWatch dashboard.
  • I have also demonstrated problem-solving skills in troubleshooting issues related to disk usage and pipeline failure.

Skills

AWS
Python
Linux
Shell
GIT
CI/CD
Vault
Docker(Beginner)
IAAC : AWS Cloudformation
Atlassian : Bitbucket, Jira and Confluence

Resume

Summary

Ritik Kesharwani

DevOps Engineer with Proven Track Record of Optimizing Performance and Minimizing Downtime through Automation and Proactive Problem- Solving Skills.

Education

B.E Computer Engineering

2017 - 2021

Marathwada Mitra Mandals College of Engineering, Pune

Percentage : 68

HSC

2015 - 2017

Maharashtra State Board

Percentage : 68%

SSC

2014 - 2015

Maharashtra State Board

Percentage : 86%

Interests

  • Reading
  • Watching/Listening Podcasts
  • Finance

Professional Experience

Software Engineer

October 2022- Present

Volkswagen Group Technology Solutions

Software Engineer Trainee

August 2021- October 2022

Volkswagen Group Technology Solutions

  • Created an alerting system for CI/CD infrastructure alarms using AWS CloudWatch, Lambda, and Python , ensuring timely and accurate notification of critical issues, and minimizing downtime.
  • Developed an auto-healing script using Shell for the CI/CD tool's infrastructure server, resulting in a significant reduction in build failures and improved system stability.
  • Automated proxy whitelisting directly from pipelines by creating a plugin using Shell, Python, and Dockerfile , leading to a reduction in manual efforts required by end-users and improving pipeline efficiency .
  • Developed a monitoring solution which shows pipeline build failures directly on AWS CloudWatch dashboard , providing real-time visibility into critical issues.
  • Demonstrated expertise in troubleshooting, Shell scripting, Python programming, and proactive problem-solving , with a proven track record of optimizing performance, improving efficiency, and minimizing downtime through automation and process improvement .

Achievements

Innovation Award

Q1 - 2022

In recognition of out of box thinking.

Instapat Award

Q3 - 2022

In recognition of going extra mile.