I am Dhruv Mistry,
a AWS Developer,
a DevOps Learner,
& a Linux User
About
I’m Dhruv Mistry, a BE graduate in Computer Science and an AWS Engineer with a strong focus on server management, Linux, Docker, and Bash scripting. I’m actively learning DevOps and educate myself daily to stay at the forefront of technology. I apply the knowledge I gain to automate workflows, optimize cloud infrastructures, and improve operational efficiency. Passionate about open-source contributions, I continuously evolve my skills and work on real-world projects to solve complex problems and drive innovation.
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- Linux
- AWS
- Docker
- Kubernetes
- Python
- Git
- Github
- Github Actions
- Jenkins
- Prometheus
- Grafana
Experience
Oneknotone Technologies LLP
AWS Engineer
May 2024 - February 2025
Pearlthoughts
DevOps Engineer Intern
May 2025 - Present
Education
Babaria Institute of Technology
B.E Computer Science and Engineering
At Babaria Institute of Technology, I completed my Bachelor of Engineering in Computer Science and Engineering. The program offered a solid foundation in programming and software development, with hands-on experience in well-equipped labs. Supportive faculty fostered innovation through collaborative projects, while internships provided valuable industry exposure. This experience has thoroughly prepared me for a successful career in technology.
Recent Works
Here are some of my favorite projects I have done lately. Feel free to check them out.
Mylinux
I have a minimal Linux setup using Arch Linux with BSPWM as my window manager for a lightweight, tiling experience. This configuration allows for high customization and efficiency in my workflow. I utilize essential tools like a terminal emulator and text editor, optimizing performance to suit my needs. I also enjoy personalizing my environment with various themes for a visually appealing workspace..
- Linux
- Bash
Mybash
My GitHub project, **mybash**, is a collection of custom Bash scripts designed to enhance productivity and streamline common tasks. The repository includes scripts for automation, system monitoring, and environment setup, showcasing my programming skills and understanding of shell scripting. Each script is well-documented for easy use and modification. This project reflects my commitment to improving efficiency in the Linux environment.
- Bash
Terminal-Doom
This project creates a Docker container that lets you play the classic game DOOM right in your terminal! Built using Alpine Linux as a lightweight base image, it demonstrates containerization principles while providing a fun, nostalgic gaming experience. The container includes a pre-configured version of DOOM optimized for terminal play, making it easy to spin up and start gaming anywhere Docker runs. This project showcases both my Docker expertise and love for combining modern technology with retro gaming. The implementation focuses on minimal resource usage while maintaining full gameplay functionality.
- Docker
- Github
- DockerHub
Mykubernetes
In my Kubernetes learning journey, I've created a comprehensive repository that showcases my hands-on experience with various Kubernetes concepts. I've implemented practical examples of ConfigMaps for application configuration, RBAC for access control, monitoring solutions, and persistent volume management. To make my workflow more efficient, I've also created custom `.bashrc` aliases that simplify common kubectl commands. Through this project, I've gained deep insights into cloud-native technologies and container orchestration, while building a valuable reference for my ongoing Kubernetes work.
- Docker
- Github
- Kubernetes
Medus-Storefront
This project showcases an automated CI/CD pipeline for deploying a Medusa e-commerce platform to Amazon ECS (Elastic Container Service) using GitHub Actions and Terraform. The pipeline ensures efficient and reliable deployment with infrastructure as code principles.
- Javascript
- Github
- GitHub Actions
- Terraform
Web-Scraper
This project utilizes Puppeteer for website scraping, extracting data such as titles, headings, links, and meta descriptions. The scraped data is stored in a `scraped_data.json` file. A Python server (`server.py`) serves this data, accessible at `http://localhost:5000`. The entire process is containerized using Docker for seamless deployment and scalability.
- Javascript
- Github
- Python
- Docker
Strapi-Deployment
This Project automates the deployment of a Strapi CMS using Docker, Terraform, and GitHub Actions. The project leverages Amazon ECS for serverless container orchestration, with various CI/CD workflows to automate the build, push, and deployment of Docker images to AWS.
- Javascript
- Github
- Nodejs
- Strapi
- AWS
- Docker
Backup-Script
The project is a backup script that helps you automatically save important files from your computer to a safe place, like a cloud storage service. It makes copies of your files so you don’t lose them, and it can also clean up old backups to save space. You just need to set a few options in the script, like where your files are and where you want to store them. It works with different cloud services, making it easy to keep your data secure.
- Bash
- Github
- Rclone
- Python
- Nginx
Get In Touch
I’m starting my DevOps career and would love to connect with others in the field. If you have suggestions, feedback, or want to share insights, feel free to reach out. Contributions are welcome, and I’m always open to learning and improving through collaboration!