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Schedule Interview NowMy name is Aamir S. and I have over 5 years of experience in the tech industry. I specialize in the following technologies: Amazon API Gateway, Amazon Virtual Private Cloud, Amazon DynamoDB, DevOps, Amazon ECS, etc.. I hold a degree in Bachelor of Science (BS), Associate's degree. Some of the notable projects I’ve worked on include: Nebula X Gaming: Real‑Time Session Tracker & Events Platform, ETL Pipeline, AWS Cloud for SAAS, AWS Cloud, Data Lake infrastructure, etc.. I am based in Lahore, Pakistan. I've successfully completed 9 projects while developing at Softaims.
I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process.
I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape.
My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.
Main technologies
5 years
4 Years
3 Years
4 Years
Potentially possible
Techlogix
I built NXG’s cloud-based Session Tracker and Events platform, featuring a Next.js front end with MUI and NestJS microservices that stream data via Kafka and WebSockets. We store data in MongoDB, with Apache Pinot for live analytics, EventStoreDB for game streams, and Redis with BullMQ for job management. Deployed on Google Kubernetes Engine using Docker, Terraform, and Argo CD, it offers real-time updates under 300 milliseconds, supports over 50,000 users, maintains 99.97% uptime, and increased organic traffic by 120% through server-side rendering for SEO.
A complete ETL pipeline built for custom integration of management system. Each service is inside VPC, on top of which API Gateway and Web Application Firewall is setup. All the data comes across using webhook events into API Gateway and then Extraction - Transformation - Loading principles/stacks are applied.
Custom SaaS application acting as an ETL pipeline which periodically fetches data from multiple sources, processes them inside the AWS cloud and loads them into a CRM. Highly efficient and reusable pipeline which can act as a connector for creating different integrations on various SaaS applications.
Data connector built for a MMS system allowing secure connection using API gateway and processing raw data in S3 bucket. Raw data is then uploaded to dynamoDB where stream events are utilised on top of event bus to perform multiple types of transformations. Each data is then uploaded to respective destinations
Data Lake pipeline built using EventBridge Cron scheduler, which periodically triggers a lambda that exports data from dynamodb to S3. Stream events are generated from S3 which are processed through a bus and mapped inside glue catalogs using glue jobs. Glue job then compresses the data and stores the compressed data into different S3 partitions. After loading data into S3, AWS athena is used for querying the data in SQL form and the result of queries are then used in QuickSight where power-bi functionalities can be applied.
Bachelor of Science (BS) in Computer science
2018-01-01-2022-01-01
Associate's degree in ICS
2015-01-01-2017-01-01