Summary
Proactive and results-driven Junior Cloud Engineer with 2 years of experience in deploying, managing, and optimizing cloud infrastructure on AWS and Azure. Proficient in automation scripting with Python and leveraging Infrastructure as Code (IaC) tools like Terraform to streamline operations. Eager to contribute to scalable and resilient cloud solutions in a dynamic environment.
Experience
- Automated provisioning of AWS resources using Terraform, reducing deployment time by 40% and ensuring consistency across environments.
- Managed and monitored cloud environments on AWS and Azure for 15+ client applications, improving uptime to 99.95%.
- Provided technical support for AWS EC2, S3, and RDS, resolving over 50 customer issues monthly with a 90% satisfaction rate.
- Assisted senior engineers in troubleshooting and optimizing cloud resource utilization, contributing to a 15% reduction in monthly cloud spend.
Projects
- Designed and implemented a fully serverless data processing pipeline using AWS Lambda, S3, and DynamoDB for real-time data ingestion and transformation.
- Developed a Python script to identify and terminate unused or idle AWS EC2 instances and EBS volumes based on custom tags and inactivity metrics.
- Reduced unnecessary cloud expenditure by an estimated $200-$300 monthly in a development environment.
- Configured a simple web application to deploy seamlessly across both AWS (EC2/S3) and Azure (VM/Blob Storage) using a unified Terraform configuration.
- Demonstrated portability and redundancy by setting up load balancing and DNS routing for failover scenarios.
- Integrated CI/CD practices to automate deployments to both cloud providers upon code commits.
Education
- Graduated with High Honors, Cum Laude, and a GPA of 3.8/4.0.
- Completed capstone project developing a serverless web application on AWS, achieving 99.9% uptime.
- Awarded the "Outstanding Undergraduate Researcher" for contributions to distributed systems research.




