Position: Cloud and DevOps Engineer - AWS
Category: DevOps
English level: upper
Years of experience: 4


I am an experienced Network and Cloud and DevOps Engineer with 4+ years of experience in the IT infrastructure and Internet Service Provider (ISP) area. I have also participated in planning, designing, and building some of Large IT infrastructure projects.

Certified Cloud Developer: AWS, completed the following projects.
Section I: Cloud Fundamentals
Project1: Deploy static website on AWS
In this project, I have created a public S3 bucket and uploaded the static website files to the bucket, configured the bucket for website hosting and secured it using IAM policies, enabled CORS policy, and speed up content delivery using AWS’s CDN service, CloudFront. The website was accessible via the s3 endpoint or CloudFront domain name or the website–endpoint publicly

Project2: Udagram: Your Own Instagram on AWS
Here in this project, I have developed a cloud-based application for uploading, listing, and filtering images. I have used Node.js (Express w /Typescript), a popular JavaScript framework for networked application development. I have implemented a REST API to issue commands using HTTP, store data in Amazon Web Services Relational Data Service (RDS) and S3, extend the codebase with secure authentication sign-on features, and deploy to Amazon Web Services Elastic Beanstalk via EB CLI.

Project3: Refactor Monolith to Microservices and Deploy
In this project, I have taken an existing application called Udagram (Instagram-like App)  and refactored it into a microservice architecture with two backend services one reverse proxy and one frontend/client services. All(4) microservices are dockerized and all docker images are pushed to the DockerHub using Travis CI Pipeline. Then, all docker images were deployed to the Amazon Elastic Kubernetes services (EKS) cluster.

Project4: Develop and Deploy a Serverless App
Lastly, this project tasked me to develop an Instagram-like Toddo Application using AWS Lambda and a serverless framework for uploading, listing, and filtering images. The frontend/client side was built by ReactJS and Auth0 has been used for user Authentication and Authorization. For the backend part, I have built serverless REST APIs using API Gateway and AWS Lambda, a stack of serverless technologies on AWS.  All user data has been stored in AWS DynamoDB and S3.
AWS Services covered: EC2, EBS, VPC, Elastic Beanstalk(EB), Lambda, S3(Inc. Glacier), DynampDB, RDS(MYSQL), RedShift, CloudFront, AWS Shield, IAM, Route53, EC2 Auto-scaling, ELB,  API Gateway, NodeJs