Details
Skills
AWS Cloud Services (EC2, ECS, EKS, Lambda, RDS, VPC, IAM, S3, CloudFront)
DevOps Automation (CI/CD pipelines using Jenkins, GitHub Actions, AWS CodePipeline)
Containerization & Orchestration (Docker, Kubernetes - EKS)
Infrastructure as Code (IaC) (Terraform, AWS CloudFormation)
Monitoring and Observability (Prometheus, Grafana, FluentBit, CloudWatch)
Linux System Administration (Ubuntu, Amazon Linux)
Scripting Languages (Bash, Python)
Cloud Security and Compliance (AWS WAF, Shield, GuardDuty, Security Hub, IAM best practices)
Cost Optimization in AWS (Auto-scaling, Load Balancers, Cost Explorer, Spot Instances)
Version Control (Git, GitHub, Bitbucket)
Configuration Management (Ansible – Basic understanding)
Agile Methodologies (Scrum, Kanban – project collaboration)
Incident Response & Root Cause Analysis (Production troubleshooting and resolution)
Basic AI/ML Concepts for DevOps (AIOps - Predictive Monitoring, Anomaly Detection - Learning Phase)
About
I am a dedicated DevOps and Cloud Engineer with 2 years of hands-on experience in designing secure, scalable AWS infrastructures, building CI/CD pipelines, containerizing applications using Docker and Kubernetes, and automating deployments with Terraform and scripting.
I hold the AWS Certified DevOps Engineer – Professional credential, demonstrating my expertise in building resilient cloud-native systems.
Throughout my journey, I have successfully implemented real-world projects involving EC2, ECS, EKS, Lambda, Jenkins, GitHub Actions, and monitoring tools like Prometheus and Grafana. My focus is not only on automation and efficiency but also on integrating security, observability, and cost-optimization practices into every solution.
Currently, I am expanding my skills into AI/ML-driven DevOps (AIOps) to build predictive, self-healing cloud infrastructures.
I bring a proactive problem-solving mindset, a passion for continuous learning, and a commitment to delivering high-quality, future-ready cloud solutions.
✅ Highlights:
Clear 2 years hands-on DevOps experience ✅
AWS, Terraform, Kubernetes, CI/CD expertise ✅
Ongoing learning in AI/ML integration ✅
Real project achievements mentioned ✅
Tone: Professional + Confident ✅
Profile Photo
