Mohamed Mokhtar Riahi

Data & Cloud Engineer with 4+ years of experience designing, building, and operating modern data platforms on AWS.

I specialize in end-to-end data engineering, from ingestion and transformation to analytics and reporting, with a strong focus on scalability, automation, and reliability. My work includes building production-grade ETL/ELT pipelines using Python, SQL, Apache Spark, and dbt, as well as deploying and managing cloud infrastructure with Terraform and CI/CD pipelines.

I have hands-on experience with AWS services such as S3, Glue, Athena, Lambda, Step Functions, and integrating multi-cloud environments (AWS & Azure). I have delivered data platforms and analytics solutions for enterprise clients in the automotive and manufacturing sectors.

Beyond data engineering, I bring a strong software engineering mindset, with experience in backend development (FastAPI, APIs), containerization (Docker), and cloud-native architectures. This allows me to design solutions that are not only data-driven but also maintainable and production-ready.

I work as an independent consultant and collaborate remotely with international teams. I communicate fluently in English, German, French, and Arabic, and I am comfortable working in complex, cross-functional environments.