Hello, I'm

Prashant Mohite

|

DevOps Engineer with 3 years of experience in AWS and Azure, specializing in CI/CD automation, infrastructure as code, Kubernetes, and production monitoring.

3+ Years Experience
2 Cloud Platforms
IaC Terraform Expert
prashant@devops ~

$ kubectl get pods -A

NAMESPACE    NAME                STATUS

production   api-server-7f8b9    Running

production   nginx-ingress     Running

monitoring    prometheus-0      Running

$ terraform apply -auto-approve

Apply complete! Resources: 12 added, 0 changed.

$ _

Building Reliable Infrastructure

I'm a DevOps Engineer based in Chinchwad, Pune, with hands-on experience managing multi-environment deployments across AWS and Azure. I focus on improving system reliability, automating workflows, and resolving production issues in real-world scenarios.

From designing Jenkins CI/CD pipelines to provisioning infrastructure with Terraform, I enjoy building systems that are scalable, secure, and observable. I'm passionate about incident management, root cause analysis, and implementing preventive measures that keep production running smoothly.

CI/CD Automation

Multi-environment pipelines with Jenkins & Azure DevOps

☁️

Cloud Infrastructure

AWS & Azure with Terraform and ARM Templates

📊

Monitoring

Prometheus, Grafana, CloudWatch & Azure Monitor

🔒

Security & Ops

RBAC, secrets management, and incident response

Where I've Worked

DevOps Engineer

Celeritio Software Private Limited, Pune

July 2023 — July 2026 (3 years)

Datafrugal

  • Reduced new environment provisioning time by 70% by automating AWS infrastructure with Terraform modules and Bash scripts.
  • Reduced application deployment time by 60% by implementing Jenkins CI/CD pipelines with automated build and deployment workflows.
  • Improved developer testing efficiency by 90% by integrating automated Cypress test execution into Jenkins CI/CD pipelines.
  • Improved incident detection and troubleshooting by implementing AWS CloudWatch monitoring and alerting for production workloads.
  • Reduced demo environment costs by 80% by automating start/stop operations with Python scripts and containerization, enabling environments to be provisioned within 5 minutes.
  • Reduced local environment setup time by 50% by automating Keycloak and PostgreSQL initialization with Bash scripts and Docker entrypoints.
  • Improved CSA audit readiness by establishing structured documentation for environments, releases, runbooks, and test evidence, enabling complete traceability of operational history.

Intelligent Document Processing

  • Reduced Azure environment provisioning time by 60% by implementing Terraform-based infrastructure automation and standardized environment documentation, enabling identification of configuration gaps across environments.
  • Improved Azure environment isolation and security posture by migrating Dev, Demo, UAT, and Prod from a shared subscription to dedicated subscriptions, increasing Microsoft Defender for Cloud Secure Score by 50% and enabling environment-level issue identification.
  • Reduced build-agent troubleshooting time by 40% by implementing Prometheus and Grafana monitoring for self-hosted Azure DevOps agents, enabling proactive detection of health and resource issues.
  • Strengthened system and access security posture by remediating findings from third-party penetration testing and implementing recommended security controls.

Technical Toolkit

🏗️

Infrastructure as Code

Terraform ARM Templates Azure CLI
☁️

Cloud & Platform

Microsoft Azure AWS
🐳

Containers & Orchestration

Docker Kubernetes AKS Helm
🔄

CI/CD & Automation

Jenkins Azure Pipelines Shell Scripting Python Golang
📈

Monitoring & Observability

Prometheus Grafana Azure Monitor CloudWatch
🛡️

Security & Operations

RBAC Network Security Secrets Management Linux Admin

Featured Work

Terraform Bash Kubernetes AWS

Kubernetes Cluster Provisioner

Automated Kubernetes cluster provisioning on AWS with infrastructure, node initialization, and cluster configuration managed through Terraform and Bash.

  • Reduced cluster provisioning time by approximately 90%, from 1-1.5 hours to 7-8 minutes
  • Automated a highly available 3-control-plane, 3-worker Kubernetes cluster
  • Configured an AWS Network Load Balancer for Kubernetes API access and control-plane availability
  • Validated end-to-end functionality by deploying Google's microservices-demo with Helm
Golang Cobra CLI Docker API SHA256

DockLens Docker Image Analyzer

A Golang CLI that verifies Docker image integrity by comparing container files with local source code before deployment.

  • Automated Docker image inspection and source-to-image comparison through the Docker Engine API
  • Implemented file discovery, content hashing, and comparison workflows with Cobra CLI
  • Used SHA256 hashes to detect unexpected or mismatched container artifacts
  • Created a repeatable pre-release workflow for validating containerized application contents

Education & Certifications

Education

2020 — 2022

B.Tech in Mechanical Engineering

Allard College of Engineering, Pune, Maharashtra

2018 — 2020

Diploma in Mechanical Engineering

Pimpri Chinchwad Polytechnic, Pune, Maharashtra

Certifications

🎓

Cloud and DevOps Architect Master Course

Intellipaat

📜

Maven Crash Course

Udemy

🐍

Python

GeeksforGeeks

☁️

AWS Educate Introduction to Cloud 101

Amazon Web Services (AWS)

🎯

Preparing for AZ-104

Microsoft Azure Administrator

Languages

English Hindi Marathi

Let's Connect

Open to DevOps opportunities and collaborations. Feel free to reach out!