AWS: EC2, EKS, S3, Lambda, RDS, VPC, IAM, CloudFormation, CloudWatch, Route 53
Containerization: Docker, Kubernetes, Karpenter and Helm
IaC: Terraform, AWS CloudFormation
Scripting: Python, Shell, Bash, YAML
CI/CD: Jenkins, GitHub Actions, AWS CodePipeline , AWS CodeDeploy, AWS CodeBuild
Monitoring: AWS CloudWatch, CloudTrail, GaurdDuty, Prometheus, Grafana
Cost Analytics: Cost Explorer, AWS Budget , AWS Trusted Advisor , AWS Config
Other Relevant Skills: Linux, Git, Github
AWS Solution Architect - Professional
1. Project Title: Migration of VMware RHEL Server to AWS
Description:
Performed a structured migration of Red Hat Enterprise Linux (RHEL) servers from an on-premises VMware vCenter environment to AWS. Leveraged AWS Server Migration Service (SMS) and CloudEndure for automated lift-and-shift, ensured data integrity with Amazon S3 backups, and validated performance post-migration by launching and configuring EC2 instances with appropriate instance types.
Key Tools: CloudEndure, AWS SMS, EC2, S3, vCenter, AWS CLI
Key Skills: Cloud migration, infrastructure assessment, automation, data protection, system validation
2. Project Title: Amazon EKS Deployment using Terraform and Helm
Description:
Provisioned and deployed a scalable and secure Amazon EKS (Elastic Kubernetes Service) cluster using Terraform for infrastructure automation. Defined and managed all Kubernetes resources as code, enabling consistent, repeatable deployments across environments. Integrated IAM roles, VPC networking, and worker node configurations to support microservices deployment and autoscaling.
Key Tools: Amazon EKS, Terraform, IAM, VPC, EC2, Kubernetes
Key Skills: Infrastructure as Code (IaC), Kubernetes orchestration, AWS networking, containerized application deployment, automation
3. Project Title: Java Application Deployment Using AWS DevOps Tools
Description:
Implemented a fully automated CI/CD pipeline to deploy a Java-based web application using AWS DevOps services. Leveraged AWS CodeCommit for secure source control, CodeArtifact for centralized package management, CodeBuild for compiling Java code into deployable artifacts, and CodePipeline with CodeDeploy for seamless delivery to production. The solution enhanced deployment speed, reliability, and version control across environments.
Key Tools: AWS CodeCommit, CodeArtifact, CodeBuild, CodePipeline, CodeDeploy, S3
Key Skills: CI/CD automation, infrastructure as code, DevOps, cloud-native application deployment