Hello, I'm Mali Vishalkumar

Entry-level DevOps Engineer & Python Developer & Data Analyst

Blending strong analytical skills (SQL, Power BI, Excel) with backend development (Python, Django, Flask, AI Agents) and DevOps practices (AWS, CI/CD pipelines, Docker, Jenkins, GitHub Actions), I focus on building scalable solutions that bridge the gap between data-driven insights, cloud automation, and efficient technical implementation.

About Me

DevOps Engineer with hands-on experience in cloud infrastructure, CI/CD, automation, containerization, and backend development. Skilled in AWS, Docker, Jenkins, GitHub Actions, Linux, Python, and Git, with experience building and maintaining automated deployment and infrastructure workflows. Strong background in Python backend development using Django, Flask, Pandas, SQL, and REST APIs, with an understanding of system design and scalable application architecture. Experienced in developing automation solutions and integrating APIs and workflow automation tools such as n8n and Appify to improve operational efficiency. Strong problem-solving skills with a focus on building reliable, scalable, and automated systems while bridging development, cloud infrastructure, and DevOps practices.

DOB: 13 March 2003

Email: Malivishal28711@gmail.com

Education

  • MSc in Information Technology

    Maharaja Sayajirao University (MSU), Baroda

    June 2024 - April 2026

  • BSc (CA & IT)

    Hemchandracharya North Gujarat University (HNGU), Patan

    June 2021 - April 2024

Experience

DevOps Engineer

Lintel Technologies Pvt. Ltd

Ahmedabad, India

June 2026 - Present

Working as a DevOps Engineer, focusing on cloud infrastructure, CI/CD automation, application deployment, containerization, and system reliability. Working with AWS, Docker, Jenkins, GitHub Actions, Linux, and automation tools to support scalable and efficient development and deployment workflows.

Managing CI/CD pipelines using GitHub Actions & Jenkins

Managing and deploying applications on AWS infrastructure

Containerizing applications using Docker & Docker Compose

Automating deployment and development workflows

Monitoring applications and infrastructure using AWS CloudWatch

Working with Linux systems, shell scripting, and troubleshooting

DevOps Engineer Intern

Lintel Technologies Pvt. Ltd

Ahmedabad, India

Dec 2025 - June 2026

Completed a hands-on DevOps internship where I worked on cloud deployment, CI/CD automation, and containerized applications. Gained practical experience in AWS, Docker, Jenkins, and GitHub Actions, focusing on building scalable and automated deployment pipelines.

Built CI/CD pipelines using GitHub Actions & Jenkins

Deployed applications on AWS EC2 and hosted static sites on S3

Containerized applications using Docker & Docker Compose

Integrated SonarQube for code quality analysis

Monitored applications using AWS CloudWatch

Worked on Linux systems and shell scripting

Technical Skills

DevOps & Cloud

  • AWS (EC2, S3, IAM, CloudFront)
  • CI/CD Pipelines (GitHub Actions, Jenkins)
  • Docker & Containerization
  • Linux & Shell Scripting
  • Monitoring (CloudWatch - Basics)
  • Version Control (Git, GitHub)

Programming & Backend

  • Python (Pandas, Numpy)
  • Django, Flask (API/Web App Dev)
  • Java, C, Basic DSA
  • REST API Handling

Data Tools & Reporting

  • SQL, MySQL (Joins, Query Opt.)
  • Power BI (Basic DAX, Dashboards)
  • Excel (Pivot Tables, VLOOKUP)
  • Oracle Analytics Cloud

AI & Automation

  • AI Agents / RAG Chatbots
  • n8n Workflow Automation
  • Postman API Testing
  • Cloud Automation Basics

Systems & Platforms

  • Git & GitHub
  • Cyber Security Basics
  • HTML, CSS, JavaScript
  • Linux/Bash Shell

Data Insights

Primary Expertise

DevOps & Cloud (55%)

Primary Expertise

Python/Backend (70%)

Analytical Focus

Data/SQL/BI (60%)

Automation/IT/AI

IT/Security (70%)

Core Skill Distribution

55% DevOps 75% Python 65% SQL/DB 50% Systems 50% Power BI

Projects

DevOps CI/CD Zomato Clone Deployment

Designed and implemented a complete DevOps CI/CD pipeline to automate the deployment of a Zomato clone application. The workflow includes code integration, quality analysis, containerization, security scanning, and deployment on AWS EC2. Automated pipeline: Code push → SonarCloud scan → Docker build → Trivy scan → EC2 deployment.

Tools: GitHub, GitHub Actions, Jenkins, Docker, Trivy, SonarCloud, AWS EC2
DevOps CI/CD Docker

DevOps CI/CD - Gym Management System

Implemented a 3-tier Gym Management System deployment using DevOps practices. Built CI/CD pipeline with GitHub Actions to automate build, testing, and deployment. Containerized application using Docker and deployed on AWS EC2 for scalable and reliable hosting.

Tools: GitHub Actions, Docker, AWS EC2, Django, Linux
DevOps Automation Cloud

AWS DevOps - Static Website Hosting

Deployed a static website using AWS S3 and CloudFront CDN with full DevOps practices. Implemented version control using GitHub, enabled S3 versioning for backup, and configured CloudFront for global content delivery. Monitored performance using AWS CloudWatch.

Tools: AWS S3, CloudFront, CloudWatch, GitHub
AWS Cloud Hosting

Brijesh Fitness - Gym Management Platform

A full-stack web application built with Python (Django/Flask) to automate gym operations, manage memberships, track attendance, and provide interactive dashboards for admins and members.

Tools: Python, Django, HTML, CSS, SQLite
Backend Full-Stack Web App

Fast Moving - Courier Management System

A full-stack application designed to streamline and automate courier logistics and operations. It features user authentication, real-time tracking, and comprehensive administrative control over staff and packages. This system significantly improves efficiency and reduces manual tracking by automating the process from pickup to delivery.

Tools: Python, Django/Flask, HTML, CSS, SQL/MySQL/SQLite
Full-Stack Web App mange Courier operation

Browser-Fingerprinting

his Cybersecurity Awareness Tool captures device intelligence (IP, OS, screen size, battery status, platform) using JavaScript and APIs, for educational purposes..

Tools: Python (Flask), HTML, CSS, JavaScript, Free APIs
Cybersecurity Awareness Tool Backend

Clickjacking Capture

This project is a sophisticated Cybersecurity Awareness Tool built using Flask and HTML/CSS/JavaScript. It demonstrates how malicious actors can use browser vulnerabilities
(fingerprinting) and interface manipulation (clickjacking) to secretly gather user data and trigger unauthorized events.Implements a hidden camera frame positioned deceptively behind a visible button to simulate how a simple click can trigger an unwanted action, such as capturing a photo.

Tools:Python (Flask): Handles requests,HTML,CSS, data logging (JSON), and server-side processing
Cybersecurity Awareness Tool HIDDEN CAMERA

Certifications & Workshops

Contact Us

Let's Connect & Build

Email Me: Malivishal28711@gmail.com

Location: Deesa, Gujarat, India