About Me
A DevOps/Cloud Engineer with over 5 years of experience in designing, automating, and optimizing scalable cloud infrastructure and CI/CD pipelines. Adept at leveraging AWS, Azure, and containerization technologies to enhance system reliability, streamline deployments, and ensure seamless integration of cloud-based solutions.
Technical Skills
Cloud Platforms
- AWS
- Microsoft Azure
- Google Cloud Platform (GCP)
Infrastructure as Code
- Terraform
- AWS CloudFormation
- ARM Templates
- Pulumi
Containerization & Orchestration
- Docker
- Kubernetes (EKS, AKS)
- Helm Charts
CI/CD Tools
- Azure DevOps Pipelines
- Jenkins
- GitLab CI/CD
- GitHub Actions
Scripting & Automation
- Python
- Bash
- PowerShell
- Groovy
Monitoring & Logging
- Prometheus & Grafana
- ELK Stack
- AWS CloudWatch
- Datadog
Professional Experience
Azure DevOps Engineer
Lockheed Martin
AWS DevOps Engineer
T.Rowe Price
DevOps Engineer
AXA
Cloud Engineer
Barclays
Live Demos & Projects
Azure Cloud Migration & Automation
Architected the migration of on-prem applications to Azure, reducing infrastructure costs by 25%. Automated provisioning of V-Nets and VM Scale Sets using Terraform, cutting deployment time by 50%.
AWS Cost Optimization & Automation
Decreased cloud spend by over $15,000/month by creating Ansible Playbooks in Jenkins to automate the start/stop schedule for non-production EC2 and RDS resources.
Kubernetes Microservices Platform
Managed a containerized environment using Kubernetes to support a large-scale microservices application. Automated server configuration for Azure VMs using Ansible, reducing manual setup time by 90%.
IaC for Web Application Deployments
Created a fully version-controlled infrastructure on AWS using Terraform and CloudFormation. Implemented a monitoring stack with Prometheus and Grafana for Kubernetes clusters, reducing incident response time by 40%.
Zero-Downtime Deployment Strategy
Engineered a zero-downtime deployment strategy for microservices on AKS using Azure DevOps, achieving 99.99% uptime and eliminating manual rollback incidents.
CI/CD Pipeline for Microservices
A complete CI/CD pipeline using Jenkins, Docker, and Kubernetes to automate the build, test, and deployment of microservices, resulting in a 75% reduction in manual deployment errors.
✨ Project Idea Generator
Looking for a new challenge? Let AI generate a custom project idea for you based on my skills in cloud and DevOps.
Get In Touch
I'm currently seeking new opportunities in DevOps and Cloud Engineering. Feel free to reach out if you'd like to connect!
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