enthusiastic and fast-learning DevOps Engineer with hands-on experience in automating cloud-native deployments using AWS services such as Lambda, API Gateway, DynamoDB, and CloudFormation. Skilled in designing CI/CD pipelines, managing containerized environments using Docker and Kubernetes, and applying Infrastructure as Code with Terraform and Ansible. Strong foundation in Linux systems, networking (CCNA), and scripting with Python and Bash. Known for problem-solving, adaptability, and continuous learning. Seeking to contribute to innovative DevOps teams and drive efficient software delivery.
· AWS: EC2, S3, RDS, Lambda, API Gateway, DynamoDB, IAM, VPC, Auto Scaling, ELB, Route 53, ElastiCache, CloudFront, Elastic Beanstalk, ELBCloudWatch
· Azure (basic knowledge)
· Docker
· Kubernetes
· Helm
· Ansible (Playbooks, Automation, Configuration Management)
· Prometheus, Grafana
· ELK Stack (Elasticsearch, Logstash, Kibana)
· AWS CloudWatch
· VMware
· VirtualBox
· Git, GitHub, GitHub Actions
· Jenkins
· AWS CodePipeline, CodeBuild, CodeDeploy
· ArgoCD, GitOps
· Terraform
· CloudFormation
· AWS SAM
· Bash Scripting
· Python Automation
· Linux Administration
· Networking (CCNA)
· VPC, Security Groups, Subnets, NAT Gateway
· Problem Solving, Adaptability, Time Management, Attention to Details, Communication Skills, Critical Thinking, Continuous Learning
AWS DevOps 90%
Cloud nativeAn advanced hands-on program designed to simulate real-world DevOps work environments.
Focused on practical implementation of CI/CD pipelines, Infrastructure as Code, environment provisioning (Dev/QC/Prod), cloud security, and monitoring using AWS services — exactly as done in professional DevOps teams
DevOps & multi cloud program
DolfinEdHands-on program providing a strong foundation in DevOps through practical training on CI/CD (Jenkins, GitHub Actions), Docker, Kubernetes, Terraform, Ansible, cloud platforms (AWS, Azure), monitoring tools (Prometheus, Grafana, ELK), scripting (Bash, Python), and Linux systems.
Serverless Application Deployment
- Developed and deployed serverless web application using AWS services (Lambda, API Gateway, DynamoDB, S3)
- Automated infrastructure provisioning using AWS SAM and CloudFormation (IaC)
- Implemented CI/CD pipelines for continuous deployment and updates
- Gained expertise in cloud-native development and serverless architectures
Technologies:AWS Lambda, API Gateway, DynamoDB, S3, AWS SAM, CloudFormation,
Automated HTTP Service
Developed a fully automated Bash script to provision an EC2 server, install all dependencies, clone the code from AWS CodeCommit, build the .NET Core project, and run it as a systemd service.
Achievements:
Enabled 100% automated deployments with zero manual intervention.
Reduced setup and deployment time from hours to minutes.
Improved service reliability using systemd auto-restart.
Enhanced security with IAM roles and CodeCommit credential helper.
Provided a repeatable and consistent deployment environment for future updates.
Project 3: CI/CD Automation on AWS
- Built complete CI/CD pipeline using AWS services (CodePipeline, CodeBuild, CodeDeploy)
- Created isolated environments (Dev/QC/Prod) using Infrastructure as Code
- Implemented security best practices (VPC, Security Groups, IAM)
- Configured auto-scaling and DNS management for optimal performance
Technologies: AWS CI/CD, Infrastructure as Code, VPC, IAM, Auto Scaling
DevSecOps CI/CD Pipeline (Self Project)
Designed and implemented an end-to-end DevSecOps pipeline for a shopping cart web application.
Automated the entire build, test, and deployment process using Jenkins.
Integrated SonarQube and OWASP Dependency Check to ensure code quality and eliminate vulnerabilities.
Containerized the application with Docker and deployed it through Docker Hub.
Achieved faster, more secure, and fully automated deployments with zero manual intervention.
Technologies: Jenkins, SonarQube, OWASP Dependency Check, Docker, Docker Hub, Maven
> B.Sc. in Computer Science .