⚡ DevOps • Cloud • Automation

Building powerful
digital experiences with

Hi, I’m Meet Dangar — a passionate DevOps and Cloud enthusiast focused on building scalable systems, CI/CD pipelines, automation workflows, and modern web experiences.

10+

Tools & Technologies

3+

Major Projects

100%

Passion for Learning

Meet Dangar
About Me

Who I Am

I’m a DevOps-focused learner with skills in Linux, Docker, Kubernetes, Jenkins, AWS, and automation. I completed my BCA from Christ College and am currently pursuing MSIT at Charusat University of Science and Technology.

My Focus

Passionate about DevOps and cloud engineering, I build reliable deployment systems, scalable infrastructure, and automation pipelines for modern applications.

My Goal

My goal is to become a skilled DevOps engineer by mastering cloud, automation, monitoring, CI/CD, and real-world project development.

Skills

Tech Stack I Work With

A strong mix of DevOps, cloud, scripting, and frontend tools.

DevOps & Cloud

AWS
Jenkins
Docker
Kubernetes

Development

HTML
CSS
JavaScript
Python
Node.js

Tools

Linux
GitHub
Shell Script
Prometheus
Grafana
Postman
Projects

Featured Work

These projects highlight DevOps, cloud, and automation skills.

01

Scalable three-tier web architecture on AWS

Architected a three-tier (Web, App, DB) architecture on Amazon Web Services using VPC, multi-AZ, public/private subnets, NAT Gateway, IGW, and Security Groups. Configured Auto Scaling Groups with Application Load Balancers for scalability and high availability. Enabled monitoring using Amazon CloudWatch, Amazon SNS, VPC Flow Logs, and S3. Automated deployments using AWS CodePipeline, AWS CodeBuild, AWS CodeDeploy, GitHub, and EC2

02

Kubernetes Deployment on AWS EKS with Ingress

Designed and deployed a scalable Kubernetes architecture on Amazon Web Services using Amazon EKS with cluster provisioning, containerization, and YAML deployments. Managed workloads using Pods, Deployments, and Services.Configured Ingress with AWS Application Load Balancer (ALB) for secure external access and high availability. Ensured reliable container orchestration for scalable applications.

03

End-to-End DevSecOps Pipeline with Automated Security Scanning and Deployment

Designed and implemented a DevSecOps CI/CD pipeline using Jenkins integrated with GitHub, incorporating SonarQube and Trivy for secure automated workflows. Containerized applications using Docker and deployed on Amazon Web Services EC2 with webhook-based automation,improving deployment speed, consistency, and system reliability.

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