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Schedule Interview NowAditya M. AWS, Python and DevOps Platforms
My name is Aditya M. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: Amazon Web Services, Python, Docker, Containerization, Web Development, etc.. I hold a degree in , Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: Terraform Scripting, ECS Fargate, Django Project for REST to SOAP calls. I am based in Ahmedabad, India. I've successfully completed 3 projects while developing at Softaims.
I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.
My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.
My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.
Main technologies
AWS, Python and DevOps Platforms
6 years
Amazon Web Services
4 Years
Python
5 Years
Docker
3 Years
Additional skills
Direct hire
Potentially possible
Previous Company
Amazon India
Experience Highlights
Terraform Scripting
AWS Deployment automation using Terraform. Client deployment included following components: 1. API Gateway 2. Lambdas 3. Firehose Kinesis 4. CloudFront 5. CloudWatch 6. Cloudformation Templates
ECS Fargate | Lambda | SQS Integration
Client Requirements: * Client needed a heavy image processing to be done on a huge set of images on demand without having to reserve huge set of resources on the cloud. * Client also needed parallel and separate processes to have scalable implementation for concurrent conversion requests. * One of the requirements was to use resources on the go and pay only for the resources consumed Solution Implemented: * Created a docker image for the image processing solution and hosted on ECR * Lambda created to store the incoming images files hosted on s3 to run image processing on * Lambda push the data on SQS Queue which is accessed in the docker container to pull the data from S3 * Created API Gateway to trigger lambda which triggers the ECS to start the conversion * VPC created to include all endpoints involved in the solution to prevent data transfers over internet, speeding all the resources access
Django Project for REST to SOAP calls
Client had a SOAP API based backend. He needed a REST interface created for the same that can scale quickly as per the real time traffic. Created Django based project running in the container. AWS deployment with the policies to scale up the docker containers real time.
Education
MIT Pune
in
Maharashtra Institute of Technology
Bachelor of Engineering (BEng) in Computer science
Languages
- English
- Hindi
Github