Vaibhav Shete

About

Vaibhav Shete Cloud and DevOps Engineer

Email: vaibhavgshete@gmail.com
Phone: +91 9922793667
Location: Pune, Maharashtra
LinkdIn: linkedin.com/in/vaibhavgshete
Resume:

With 3.4 years of experience in DevOps, Specializing in building robust, scalable, and automated software delivery pipelines that accelerate development and ensure reliable operations.Experienced in designing end-to-end CI/CD workflows, containerization with Docker, Kubernetes orchestration, and cloud deployments on AWS. Proven track record in optimizing build and deployment processes, implementing infrastructure as code, and enabling teams to deliver software faster with fewer errors. Strong focus on observability, high availability, and system reliability across complex applications.

GitLab Certifications

4× Certified

Kubernetes Deployments

20+ Microservices on EKS & K8s

CI/CD Automations

15+ Pipelines Optimized

Cloud Projects

AWS, Docker, EKS, ALB

Education

Master of Computer Applications

2022 - 2024

Chandigarh University, Mohali

CGPA: 7.50

Completed while working as a full-time professional.

Application Development: Acquired expertise in creating dynamic and responsive web applications using HTML, CSS, and JavaScript, and developed backend REST APIs with Java and the Spring Boot framework.
Cloud Computing: Gained knowledge in cloud services models (IaaS, PaaS, SaaS), and hands-on experience with platforms like AWS, Azure, and Google Cloud.
Software Testing & Quality Assurance: Learned various testing methodologies, test automation tools (like Selenium), and best practices for ensuring software quality.
Application Security: Studied implementation of encryption algorithms in code, network security protocols, and techniques to safeguard applications using JWT authentication.
Advanced Computer Network: Studied advanced networking key concepts like IP Addressing and Subnetting, Routing Protocols, Network Architectures and Topologies and Network Performance Optimization (Load Balancing).
Communication Skills: Enhanced written and verbal communication skills, critical for effective collaboration and presentation in professional environments.

Bachelor of Science

2017 - 2021

Dr. PDKV, Akola

CGPA: 7.67

Experience

DevOps Engineer - CI/CD Infrastructure and Pipeline Automation

Nov 2024 – Present

Fineshift Software Pvt. Ltd.

Pune, Maharashtra

Engineered an enterprise-grade CI/CD ecosystem for large-scale drone simulations, enabling 50+ concurrent swarm instances and accelerating testing cycles.
Set up and maintained GitLab Runner infrastructure with Docker-based execution and concurrency optimization.
Implemented build (cross-compilation), test (Squish, Cppcheck, Clang scan-build), and release workflows in GitLab pipelines.
Designed custom Docker images for Qt-based apps and integrated headless simulation tools.
Automated log parsing and storage on SFTP for simulation analysis.

Engineer – Projects (CI/CD & Automation)

Apr 2022 – Nov 2024

Datamato Technologies Pvt. Ltd.

Pune, Maharashtra

Delivered high-impact CI/CD pipelines using GitLab, SonarQube, Nexus, and Tomcat, cutting delivery time by 40%.
Implemented One-Click Deployment integrating database & filesystem automation via GitLab and Shell scripting, boosting efficiency by 90%.
Deployed workloads to AWS EKS, authored Kubernetes manifests, and optimized pods for microservices.
Orchestrated multi-project GitLab pipelines integrating 45+ modules with upstream and downstream dependencies.
Automated deployment for 30+ Oracle Siebel components via GitLab, reducing manual effort by 75%.
Developed Java-based GitLab utilities reducing Siebel data operations from 4 hours to 20 minutes.
Built SOR platform and Automation Adaptor using Spring Boot, reducing manual work by 80%.
Configured Nginx for microservices load balancing, improving reliability by 30%.

Intern

Nov 2021 – Apr 2022

Java By Kiran Training Institute

Pune, Maharashtra

Created an employee management module using Core Java, demonstrating solid OOP fundamentals.
Developed and executed Selenium automation scripts for web application testing.
Tested multiple websites (e.g., naukri.com, javabykiran.com), reported bugs, and improved application performance.

Projects

Three-Tier Application Deployment on AWS EKS | ReactJS, Node.js, MongoDB, Docker, AWS ECR, EKS, ALB 🔗 Click Here

Architecture: Deployed a scalable three-tier application (Frontend: ReactJS, Backend: Node.js, Database: MongoDB) on Amazon EKS with two worker nodes.
Containerization & Registry: Built and pushed Docker images to AWS Elastic Container Registry (ECR) for seamless deployment.
Ingress & Load Balancing: Configured AWS ALB Ingress Controller for external access and domain integration (todo.vaibhavgshete.com).
Cloud-Native Deployment: Automated deployment workflows using Kubernetes manifests, ensuring high availability and scalability.

Drone Simulation CI/CD Pipeline | GitLab, Docker, Kubernetes

Scalable Simulation: Engineered infrastructure to run 50+ concurrent drone swarm simulations with ArduPilot, MissionPlanner, and QGroundControl.
Automation: Implemented CI/CD pipelines for build, test, and deployment using GitLab runners with Docker-based execution.
Integration: Automated log parsing and storage on SFTP to accelerate testing and validation cycles.

Game 2048 on AWS EKS (Fargate) | AWS EKS, Fargate, Helm, Kubernetes 🔗 Click Here

Serverless Deployment: Deployed 2048 game application on AWS EKS using Fargate for serverless compute of Kubernetes pods.
Networking & Security: Configured AWS Load Balancer Controller, IAM roles, and Ingress for secure and scalable public access.

One-Click Deployment Tool | Shell, GitLab, AWS

Deployment Automation: Created a deployment utility integrating database and filesystem automation via GitLab pipelines.
Efficiency Gains: Reduced deployment time by 90%, ensuring faster and more reliable application rollouts.

Java Maven Sonar Docker K8s CI/CD Pipeline | Java, Jenkins, SonarQube, Docker, Kubernetes 🔗 Click Here

Pipeline Automation: Implemented full CI/CD workflow integrating Jenkins, SonarQube, DockerHub, and Kubernetes manifests.
Code Quality & Deployment: Automated quality checks, containerization, and Kubernetes deployments, streamlining release cycles.