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walaaelgenidy/README.md

Hi there ๐Ÿ‘‹

Anurag's GitHub stats

  • I am a passionate DevOps engineer with expertise in automating, optimizing, and streamlining deployment processes. With a strong background in infrastructure as code, CI/CD pipelines, and cloud technologies, I am dedicated to enhancing software delivery practices and ensuring scalability and reliability in production environments.

  • Iโ€™m AWS Certified Solutions Architect Associate , Google Certified Professional Cloud Architect and CKA

  • How to reach me: walaaelgenidy@gmail.com

๐Ÿ”— ย Connect with me

gautamkrishnar 4214976

Experience

  • With over 2 years of hands-on experience in the field of DevOps engineering, I have successfully implemented automated deployment pipelines, managed infrastructure at scale, and collaborated with cross-functional teams to improve software delivery practices. My experience includes:
  • Implemented automated deployment pipelines that reduced deployment time .
  • Led the migration of on-premises infrastructure to the cloud and from one cloud to another, resulting in cost savings and improved scalability.
  • Collaborated with development teams to improve code quality and deployment processes.

Skill Set

  • Infrastructure as Code (IaC) with tools like Terraform and CloudFormation also Crossplane
  • CI/CD pipeline setup and management with Jenkins , github actions and ArgoCD
  • Containerization with Docker and container orchestration with Kubernetes
  • Monitoring and logging with tools like Prometheus, Grafana, and ELK stack
  • Cloud platforms such as AWS, Azure, and Google Cloud.

These are some of the major technologies that I use or have worked on in the past:

Programming Languages

Python JS

Libraries and Frameworks

Terraform

Cloud

AWS GCP Heroku

Databases

MongoDB MySQL

Tools

Docker Ansible kubernetes Git Bash


Visitor's count ๐Ÿ‘€

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  1. Operationalize-a-Machine-Learning-Microservice-API Operationalize-a-Machine-Learning-Microservice-API Public

    Operationalize a Machine Learning Microservice API Deploying a containerized machine learning app using Docker and Kubernetes

    Python

  2. Python-Automation-Scripts Python-Automation-Scripts Public

    Python automation scripts for AWS cloud using boto3

    Python 1

  3. Face-detection-backend-server Face-detection-backend-server Public

    Deploy backend server for face detection Node.js (Express.js) App with Docker

    JavaScript

  4. Build-CI-CD-Pipelines Build-CI-CD-Pipelines Public

    Building CI/CD Pipeline using CirclCi , Monitoring with Prometheus , and Logging

    TypeScript

  5. CloudFormation CloudFormation Public

    Automate infrastructure and servers with AWS cloudformation

    Shell

  6. DB-Backup-Scripts DB-Backup-Scripts Public

    MongoDb and PostgreSQL backup scripts ( both bash and python)

    Python