Bharat Raj Email & Phone Number

DevOpscloud engineer with experience in Azure DevOps. Skilled in version control system using Git and followed GitFlow branching model. Competent in Continuous Integration/ Continuous Delivery with tools like Gitlab, Github actions, Jenkins, talented with YAML to write Docker file, Kubernetes POD manifest, ansible inventory list, CI/ CD pipeline script, proficient knowledge in infrastructure tools such as Terraform for performing Infrastructure As Code ( Iac ) operations in leading cloud providers like AWS and Microsoft Azure. Configured shell scripting for automation task. I, also have experience managing users and their permissions using IAM service. Deployed resources using Terraform and configured them for upgrades, patches using Ansible. Developed static storage device such as AWS S3 and made sure the data stored is disaster recovery in for high availability, audited API actions in AWS using the logs generated by AWS CloudTrail, set up AWS CloudWatch to monitor AWS resources and keep the Billing and cost minimal to the organization, sent notification using AWS SNS. Worked on AWS ECR to store the docker images and made use of AWS EKS to perform container orchestration.I further enhanced my cloud computing skills by pursuing Cloud Computing course in George Brown College, Toronto. I also have an AWS Solution Architect Associate certificate, Microsoft Azure Administrator Associate certificate and cleared the Certified Kubernetes Application Developer exam demonstrating my passion for cloud and DevOps industry.I value teamwork and effective communication, finding that they foster stronger collaboration and better outcomes. I take pride in my work and am always eager to learn from my team, seeing every challenge as an opportunity for personal and collective growth.Skills:- Infrastructure as Code (IaC): Terraform, AWS CloudFormation, Ansible- Containerization and Orchestration: Docker, Kubernetes- CI/CD Pipelines: GitLab CI/CD, GitHub Actions, Jenkins- Storage: S3, Azure Storage- Cloud Platforms: AWS, Azure- Monitoring and Logging: Prometheus, Grafana, ELK stack- Version Control Systems: Git- Scripting and Automation: Bash, Python