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Nadeem T. Cloud, Python and General Development

My name is Nadeem T. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Python, Amazon Web Services, Cloud Architecture, Cloud Application, Cloud Computing, etc.. I hold a degree in . Some of the notable projects I’ve worked on include: S3 Data Processing and Analysis with AWS Lambda and DynamoDB, Deploy an application on AWS using Codepipeline. I am based in Lahore, Pakistan. I've successfully completed 2 projects while developing at Softaims.

I specialize in architecting and developing scalable, distributed systems that handle high demands and complex information flows. My focus is on building fault-tolerant infrastructure using modern cloud practices and modular patterns. I excel at diagnosing and resolving intricate concurrency and scaling issues across large platforms.

Collaboration is central to my success; I enjoy working with fellow technical experts and product managers to define clear technical roadmaps. This structured approach allows the team at Softaims to consistently deliver high-availability solutions that can easily adapt to exponential growth.

I maintain a proactive approach to security and performance, treating them as integral components of the design process, not as afterthoughts. My ultimate goal is to build the foundational technology that powers client success and innovation.

Main technologies

  • Cloud, Python and General Development

    2 years

  • Python

    1 Year

  • Amazon Web Services

    1 Year

  • Cloud Architecture

    1 Year

Additional skills

  • Python
  • Amazon Web Services
  • Cloud Architecture
  • Cloud Application
  • Cloud Computing
  • Linux System Administration
  • Git
  • Terraform
  • Docker
  • Problem Solving
  • Database
  • SQL
  • NumPy
  • pandas
  • Machine Learning

Direct hire

Potentially possible

Previous Company

Techlogix

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Experience Highlights

S3 Data Processing and Analysis with AWS Lambda and DynamoDB

Description: Built a scalable and serverless data pipeline using AWS Lambda and DynamoDB. Processed and analyzed data stored in Amazon S3, performed transformations and stored results in DynamoDB for further analysis. Features: Utilized Amazon S3 for reliable data storage. AWS Lambda executed data processing logic triggered by S3 uploads. DynamoDB used as a NoSQL database to store processed data.

Deploy an application on AWS using Codepipeline

I recently completed a challenging and rewarding project that involved setting up an automated Continuous Integration/Continuous Deployment (CI/CD) pipeline for a web application hosted on Amazon EC2. This project showcases my expertise in AWS Code pipeline and CI/CD best practices. 𝐊𝐞𝐲 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬: 𝐀𝐖𝐒 𝐂𝐨𝐝𝐞𝐂𝐨𝐦𝐦𝐢𝐭 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: I integrated AWS CodeCommit as the version control system, allowing developers to commit code changes that trigger automatic deployments to the EC2 instance. 𝐀𝐖𝐒 𝐂𝐨𝐝𝐞𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 & 𝐂𝐨𝐝𝐞𝐃𝐞𝐩𝐥𝐨𝐲: I configured AWS CodePipeline and AWS CodeDeploy to automate the entire deployment process, from source code changes to the web application being updated and live.

Education

  • University of Engineering & Technology, Lahore

    in

Languages

  • English

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