Rajesh is a DevOps Engineer with 9+ years of experience in cloud management and automation. He has a proven track record in leading DevOps transformations and optimizing cloud infrastructures.
Managed 100% of existing AWS/Azure Cloud environments
Reduced manual setup time by 60% through automation
Decreased system downtime by 45% for critical applications
Led a team of 6 Engineers in monitoring and alerting systems
Implemented CI/CD pipelines for Django applications
Reduced manual infrastructure setup time by 60% on AWS and GCP using Terraform.
Decreased system downtime for critical applications by 45% through robust monitoring and alerting.
Increased production rates by 20% and reduced machine downtime by 15% through Python-script automation.
Overview: This project focused on the complete lifecycle management of a customer rewards portal, including migrating its on-premises infrastructure to the cloud. Responsibilities: Involved in setting up infrastructure and deployment pipelines, designing the overall transformation strategy, and implementing DevOps & DevSecOps practices. Managed 100% of existing AWS/Azure Cloud environments, overseeing automation, monitoring metrics, disaster recovery/backups, and capacity planning.
Key outcomes:
Reduced manual setup time by 60% through automated infrastructure deployment on AWS and GCP using Terraform.
Reduced system downtime for critical applications by 45% by implementing robust monitoring and alerting tools.
Overview: This project involved creating a fully automated CI/CD pipeline for a Django Todo-List web application. Responsibilities: Created the CI/CD Pipeline for a 'Django Todo-List App' from development to deployment. Deployed the project on Amazon AWS EC2 Instance with the help of Docker and Jenkins.
Key outcomes:
Successfully created and deployed a CI/CD pipeline for a Django web application.
Key outcomes:
Successfully developed and operated a POC for cloud/SDN solution integration for a major retail client.
Contributed to architectural discussions, ensuring secure and successful cloud deployments.
Managed data configuration for automated cloud migration.
Key outcomes:
Increased production rates by 20% through workflow optimization and lean manufacturing principles.
Reduced machine downtime by 15% using predictive maintenance strategies and Python scripting.
Key outcomes:
Led a team of 6 engineers to manage monitoring and alerting systems across 3+ countries.
Owned and operated 100% of all configuration and release management governance.
Automated routine tasks via Shell scripting to boost personnel productivity and organizational efficiency.
Rajesh
DevOps Engineer