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Rohit Pandey

About Me

I am a driven and ambitious professional with around 3 years of experience in the telecom industry. Recently, I have decided to transition my career into the exciting world of cloud computing, with a focus on DevOps.

Although I don't have direct professional experience in the cloud/DevOps field yet, I have been diligently learning and exploring the AWS cloud platform since July 2023. I am deeply passionate about this domain and fascinated by its ability to revolutionize modern software development and infrastructure management.

Equipped with a strong foundation in the telecom industry and a keen interest in cloud computing, I am eager to leverage my analytical mindset, problem-solving skills, and commitment to continuous learning to drive meaningful impact within the dynamic cloud and DevOps landscape.

Skills

Projects

  1. Highly Available Web Application Deployment on AWS Designed fault-tolerant web applications on AWS using Launch Templates, Auto Scaling, Application Load Balancer (ALB), and Amazon RDS MySQL, achieving 99.99% uptime and scalable architecture.

  2. S3 Object Mover Engineered a serverless AWS Lambda function to automate object migration between S3 buckets, enhancing data management efficiency and ensuring seamless transfer.

  3. GitOps with Argo CD Spearheaded GitOps practices using Argo CD for continuous deployment and management of Flask-based monitoring applications in Kubernetes environments, improving deployment efficiency and reliability.

  4. Jira Ticket Creator API Developed a Flask-based API endpoint for programmatically creating Jira tickets, streamlining project management workflows and enhancing team collaboration.

  5. Containerized Application with Kubernetes Developed a containerized application and deployed it on a Kubernetes cluster, leveraging tools like Docker and Argo CD for orchestration and continuous deployment.

  6. Infrastructure as Code with Terraform Created reusable Terraform configurations to provision and manage cloud resources, such as VPCs, EC2 instances, and databases, in a scalable and reproducible manner.

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