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K

Khushal

Expert

Expert

Backend Developer

* Zero Evaluation Fee

Available

Available in IST Timezone

Summary

Technical Skills

Projects Worked On

Summary

Over 10 years of experience in DevOps engineering, focusing on CI/CD, automation, and cloud infrastructure.

  • Strong background in CI/CD pipeline development using Jenkins, GitLab, and GitHub Actions.
  • Skilled in containerization and orchestration using Docker and Kubernetes.
  • Proficient in cloud platforms, especially AWS (EC2, S3, Lambda, SageMaker).
  • Hands-on experience in Infrastructure as Code (IaC) with Ansible and Terraform.
  • Developed and managed monitoring and logging solutions using Grafana and Nagios.
  • Experienced in automation scripting using JavaScript, Bash, Python, and PowerShell.
  • Adept at managing multi-platform environments: Linux (Ubuntu, CentOS), Windows Server, and macOS.
  • Expertise in artifact management using Artifactory (Docker Registry, Conan).
  • Integrated CI/CD workflows with tools like Jira, Make, CMake, Zapier, and Node.js for streamlined development operations.
  • Led and delivered complex DevOps projects involving microservices, embedded systems, and scalable web apps.
  • Strong problem-solving, team leadership, and system optimization capabilities.

Skills

DevOps & CI/CD: Jenkins (Master, Plugins, Node Management), Git (CLI), CI/CD (GitLab, GitHub Actions), Make, Zapier, Artifactory (Conan, Docker Registry), Jira Integration

Cloud & Infrastructure: AWS (EC2, S3, Lambda, SageMaker), Docker, Kubernetes (CLI), Ansible, Grafana

Scripting & Programming: JavaScript (Excellent), Bash, PowerShell

Operating Systems: Linux (Ubuntu, CentOS), Windows Server, macOS

Projects Worked On

CI/CD Pipeline for Automated Software Deployment (10+ Years)

Designed and implemented a fully automated CI/CD pipeline for a microservices-based application.

  • Configured Jenkins Master and managed build nodes with plugins for distributed builds.
  • Automated build, test, and deployment stages using Jenkins.
  • Deployed applications on Kubernetes clusters, ensuring high availability and scalability.
  • Integrated GitHub Actions for automated testing and release management.
  • Implemented monitoring using Nagios and Grafana for real-time log analysis and performance tracking.
Dockerized Environment for Scalable Web Applications (10+ Years)

Developed a Dockerized CI/CD environment for a web application using Kubernetes.

  • Created Dockerfiles for different application components, ensuring portability.
  • Managed Kubernetes clusters and automated deployments using Helm charts.
  • Integrated Artifactory to store Docker images and Conan packages.
  • Wrote Python scripts for log analysis and monitoring in Kubernetes.
  • Configured Nagios alerts to monitor resource utilization and container health.
Jenkins-Based CI/CD Pipeline for Embedded Software Builds (10+ Years)

Developed a Jenkins-based CI/CD pipeline for building, testing, and deploying embedded software written in C/C++.

  • Configured Jenkins multi-branch pipelines to automate builds based on git branches/tags.
  • Developed scripts in PowerShell and Python for build automation and testing.
  • Integrated Conan package manager to manage dependencies efficiently.
  • Automated firmware flashing and unit testing on embedded boards.
  • Integrated with Jira for issue tracking and automated release tagging.
Infrastructure as Code (IaC) & Monitoring Setup (10+ Years)

Designed and implemented Infrastructure as Code (IaC) using Ansible and Terraform to automate cloud provisioning and configuration management

  • Used Terraform to provision AWS infrastructure, including EC2, S3, and RDS.
  • Configured Ansible playbooks for automated software deployment and system setup.
  • Implemented Nagios monitoring with custom alerts for CPU, memory, and disk usage.
  • Set up Grafana dashboards to visualize performance trends.
  • Integrated logging tools for real-time monitoring and troubleshooting

CERTIFICATION

Certified in Embedded Systems, Cocoon

Udemy Certifications: Machine Learning A-Z, TensorFlow for Deep Learning, Feature Engineering

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