LAVKESH RAGHAV

Bulandshahr

Summary

DevOps Engineer with hands-on experience in CI/CD automation, containerization, and Kubernetes orchestration. Skilled in implementing end-to-end DevOps workflows using industry-standard tools like AWS, Docker, and Ansible. Focused on improving system reliability through proactive monitoring and infrastructure as code

Overview

Certification

Work History

DevOps Intern

APPWARS Technology

Noida

09.2025 - 11.2025

Managed end-to-end CI/CD pipelines using Jenkins for automated build, testing, and deployment processes.
Implemented configuration management with Ansible to automate application setup and server provisioning.
Deployed and managed containerized microservices using Docker and Kubernetes (EKS) clusters on AWS.
Utilized Helm for packaging Kubernetes manifests and maintaining version control of deployments.
Created and maintained AWS infrastructure, including EC2 instances, IAM roles, and S3 buckets.
Integrated OpenTelemetry for distributed tracing, and implemented monitoring dashboards in Grafana using Victoria Metrics and Loki.
Worked closely with development teams to ensure reliable rollouts, canary deployments, and fast issue resolution.

Education

Master of Computer Application -

Dr. A.P.J. Abdul Kalam Technical University

Meerut

01.2025

Bachelors of Computer Application -

Chaudhary Charan Singh University

Meerut

01.2021

Skills

Cloud Services: AWS (EC2, S3, IAM, EKS)
Containerization & Orchestration: Docker, Kubernetes, Helm
CI/CD & Automation: Jenkins, Git, Ansible

Infrastructure as Code: Terraform
Monitoring & Observability: Grafana, Victoria Metrics, Loki, OpenTelemetry
Operating Systems & Scripting: Linux, Python, Bash

Websites

Certification

Cloud & DevOps Training Certification – Cloud Train.

DevOps Certification – Appwars Technology.

Introduction to Python Technology – Ainwik Infotech.

HANDS-ON PROJECTS

DevOps Automation and Observability Setup

Project Overview: Automated deployment and monitoring for microservices-based applications running on AWS Kubernetes clusters.
CI/CD Automation: Developed Jenkins pipelines with integrated quality checks and rollback mechanisms.
Configuration & Orchestration: Packaged Kubernetes manifests using Helm and automated server configurations via Ansible
Observability: Built Grafana dashboards to monitor service uptime, latency, and error rates while capturing distributed traces with OpenTelemetry
Key Achievements: Reduced deployment time by 40% and improved application uptime by 30% through proactive monitoring

Timeline