09/15/2026 updated

GG
100 % available

DevOps Engineer | Cloud & Automation | CI/CD | Docker

Agra, India
Only remote
B.E. in Computer Science & Engineering (CGPA: 7.68) - Chandigarh University (2022-2026)
Agra, India
Only remote
B.E. in Computer Science & Engineering (CGPA: 7.68) - Chandigarh University (2022-2026)

Profile attachments

SquareOps.pdf

DCOsCloud ComputingCloud EngineeringDevOpsDistributed Computing EnvironmentGitHubDataOpsSQL DatabasesDocker for AWSDocker SwarmGitKubernetesDeployment AutomationTerraformDevSecOpsDockerJenkins
DevOps & CI/CD
Expertise in Docker, Docker Compose, CI/CD Pipelines, GitHub Actions, Deployment Automation, Build Validation, and Automated Workflows. Hands-on experience building Dockerized applications and GitHub Actions CI/CD pipelines for automated build validation and deployment processes.

Cloud & Infrastructure
Strong foundation in Cloud Computing Fundamentals, Infrastructure Concepts, Deployment Environments, and Infrastructure Automation Concepts. Growing knowledge in AWS, Kubernetes, Terraform, and Jenkins.

Linux & Systems
Solid understanding of Linux Fundamentals, Linux Commands, File Systems, Permissions, Process Monitoring, System Troubleshooting, and Log Analysis. Comfortable working with Linux-based environments and troubleshooting deployment-related issues.

Programming & Scripting
Proficiency in Python, Bash/Shell Scripting Basics, SQL, and JavaScript Basics for automation and data processing tasks.

Version Control
Experience with Git, GitHub, Branching, Pull Requests, and Collaborative Git Workflows for source-control management.

Monitoring & Troubleshooting
Knowledge of Monitoring & Logging Basics, Health Checks, Log Analysis, Application Troubleshooting, Deployment Troubleshooting, and Root Cause Analysis.

Databases
Familiarity with PostgreSQL, MySQL, Relational Database Concepts, Database Connectivity, SQL Querying, and Data Validation.

Security
Understanding of Security Fundamentals, Authentication Concepts, Access Control, Secrets Management Concepts, and Least Privilege Principles.

Core Computer Science
Foundation in Operating Systems, Computer Networks, DBMS, Object-Oriented Programming, Data Structures, and Algorithms.

Tools
Practical experience with VS Code, Postman, GitHub, and Docker Desktop for development and deployment workflows.

Experience

Professional experience0 - 5 years
Freelancer since2026

Languages

EnglishFluent

Project history

Project Developer

ShipForge - Dockerized Logistics & Shipment Management System
Containerized a logistics management application using Docker and Docker Compose to establish consistent and reproducible deployment environments. Built CI/CD automation workflows using GitHub Actions for automated build validation and deployment processes. Configured PostgreSQL database integration and supported deployment environment setup. Debugged and troubleshot application and deployment-related issues using structured validation and log analysis. Improved deployment consistency and workflow reliability through automated pipeline execution. Managed source-control workflows using Git and GitHub. Tech Stack: Docker, Docker Compose, GitHub Actions, PostgreSQL, Node.js

Project Developer

Dockerized Inventory & Workflow Management System
Configured containerized application environments using Docker for consistent development and deployment workflows. Managed PostgreSQL database connectivity and application environment configuration. Performed API validation, debugging, and issue resolution to identify integration and workflow problems. Troubleshot application workflows and supported system reliability through structured validation. Strengthened practical understanding of containerization, deployment environments, and operational troubleshooting. Tech Stack: Docker, PostgreSQL, Node.js

Project Developer

Asset Management Market Data Validation & Reconciliation System
Developed automated data validation workflows using Python and SQL for structured financial datasets. Automated data processing, validation, and reconciliation activities to improve data reliability. Analyzed data inconsistencies using SQL queries and structured debugging techniques. Performed root cause analysis to identify issues affecting data quality and workflow reliability. Maintained reliable validation processes through structured reconciliation workflows. Tech Stack: Python, SQL, PostgreSQL

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