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Mohammed Amine S. Cloud, Backend and AWS Platforms

My name is Mohammed Amine S. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Web Application, Git, Docker, C#, .NET Framework, etc.. I hold a degree in , Engineer's degree. Some of the notable projects I've worked on include: AWS Call Recording: SFTP, S3, Lambda MP3 Conversion & API Access, 📊 AWS Data Lake Project with Lake Formation, Glue, Athena, and S3, AWS Serverless CSV Validation, Processing, and Storage Pipeline, School WebSite. I am based in Marrakesh, Morocco. I've successfully completed 4 projects while developing at Softaims.

I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.

My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.

I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.

Main technologies

  • Cloud, Backend and AWS Platforms

    3 years

  • Web Application

    2 Years

  • Git

    2 Years

  • Docker

    2 Years

Additional skills

  • Web Application
  • Git
  • Docker
  • C#
  • .NET Framework
  • .NET Core
  • Amazon EC2
  • Amazon S3
  • AWS Lambda
  • Amazon Web Services
  • Cloud Computing
  • Cloud Services
  • ASP.NET Core
  • PaaS
  • Python

Direct hire

Potentially possible

Previous Company

HPS

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Experience Highlights

AWS Call Recording: SFTP, S3, Lambda MP3 Conversion & API Access

I helped a client replace their non-scalable Digital Ocean setup with a fully automated AWS solution to store and process call recordings. Using AWS Transfer Family (SFTP), recordings were securely up

📊 AWS Data Lake Project with Lake Formation, Glue, Athena, and S3

Designed and implemented a fully managed data lake on AWS to centralize and secure movie datasets. Raw and processed data were stored in S3, with AWS Glue Crawlers automatically detecting schemas and

AWS Serverless CSV Validation, Processing, and Storage Pipeline

This project implements a serverless AWS pipeline to validate, process, and store CSV files. Files uploaded to S3 are validated by a Lambda function, with results logged in CloudWatch and sorted into

School WebSite

A website for a school equipped with a chatbot that answers students' and tutors' questions.

Education

  • Amazon Web Services

    in AWS Certified Cloud Practitioner

  • Mohammadia School of Engineers

    Engineer's degree in Computer science

    2020-01-01-2023-01-01

Languages

  • Arabic (Native or Bilingual)
  • English (Fluent)
  • French (Fluent)