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I’m Mohamed Mokhtar Riahi, a Cloud and Data Engineer based in Munich with a hands‑on track record designing, building, and operating data platforms on AWS. I specialize in ETL/ELT, modern data warehousing, and infrastructure‑as‑code with Terraform, delivering scalable pipelines and analytics solutions for automotive and home appliances use cases. I partner with cross‑functional teams to implement end‑to‑end data flows, automate deployments, and optimize cloud spend. My experience spans data modeling, streaming, and analytics, and I enjoy translating complex requirements into practical, resilient solutions.…I’m Mohamed Mokhtar Riahi, a Cloud and Data Engineer based in Munich with a hands‑on track record designing, building, and operating data platforms on AWS. I specialize in ETL/ELT, modern data warehousing, and infrastructure‑as‑code with Terraform, delivering scalable pipelines and analytics solutions for automotive and home appliances use cases. I partner with cross‑functional teams to implement end‑to‑end data flows, automate deployments, and optimize cloud spend. My experience spans data modeling, streaming, and analytics, and I enjoy translating complex requirements into practical, resilient solutions.

Mohamed Mokhtar Riahi

Cloud Developer, Back-End Developer, Web Developer, +1

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I’m Mohamed Mokhtar Riahi, a Cloud and Data Engineer based in Munich with a hands‑on track record designing, building, and operating data platforms on AWS. I specialize in ETL/ELT, modern data warehousing, and infrastructure‑as‑code with Terraform, delivering scalable pipelines and analytics solutions for automotive and home appliances use cases. I partner with cross‑functional teams to implement end‑to‑end data flows, automate deployments, and optimize cloud spend. My experience spans data modeling, streaming, and analytics, and I enjoy translating complex requirements into practical, resilient solutions.…I’m Mohamed Mokhtar Riahi, a Cloud and Data Engineer based in Munich with a hands‑on track record designing, building, and operating data platforms on AWS. I specialize in ETL/ELT, modern data warehousing, and infrastructure‑as‑code with Terraform, delivering scalable pipelines and analytics solutions for automotive and home appliances use cases. I partner with cross‑functional teams to implement end‑to‑end data flows, automate deployments, and optimize cloud spend. My experience spans data modeling, streaming, and analytics, and I enjoy translating complex requirements into practical, resilient solutions.

Available to hire

I’m Mohamed Mokhtar Riahi, a Cloud and Data Engineer based in Munich with a hands‑on track record designing, building, and operating data platforms on AWS. I specialize in ETL/ELT, modern data warehousing, and infrastructure‑as‑code with Terraform, delivering scalable pipelines and analytics solutions for automotive and home appliances use cases.

I partner with cross‑functional teams to implement end‑to‑end data flows, automate deployments, and optimize cloud spend. My experience spans data modeling, streaming, and analytics, and I enjoy translating complex requirements into practical, resilient solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

French

Advanced

German

Advanced

Arabic

Fluent

Work Experience

Data Engineer at Data Reply (Consultancy)

July 1, 2024 - Present

Responsible for managing and optimizing cloud infrastructure on AWS with a focus on automation, scalability, and cost efficiency using Terraform. Developed and maintained dbt models and integrated them with GitHub Actions to build automated deployment pipelines. Designed end‑to‑end data flows where data is ingested into Amazon S3, processed with AWS Glue and Step Functions, and exposed to stakeholders via Amazon QuickSight dashboards. Leveraged Python, SQL, and AWS (Glue, Step Functions, Lambda, Athena) throughout the data and analytics stack. Integrated with Azure APIs and UIs to ensure seamless collaboration between AWS and Azure environments and implemented an email alerting system for spend thresholds. Implemented a cloud efficiency score from scratch merging all data sources from all cloud accounts of the company to provide scores and cloud recommendations in a dashboard to improve cloud efficiency per cloud account and department. Implemented a daily report pipeline via Lambd

Data Engineer (Working Student) at Data Insights GmbH

October 1, 2021 - June 1, 2024

Managed AWS accounts and underlying infrastructure for data platforms used in production. Reduced technical debt by fixing code smells and improving reliability in Scala, Java, and Python services. Built and maintained data pipelines and CI/CD workflows using Bitbucket, Bamboo, and Gradle for multiple applications. Implemented generic Gradle build automation and parameterized templates to standardize CI/CD across applications. Improved performance of the production EMR cluster by orchestrating parallel execution via AWS Step Functions. Internal projects included comparing Apache Iceberg, Apache Hudi, and Delta Lake and developing a unified API to run common operations across the three formats, deploying on AWS EMR; performed Spark benchmarking; and supporting Terraform‑based migrations. Also developed an internal utilization forecast application and extended a framework to integrate Iceberg/Hudi/Delta Lake, including a full web app replacement for a Power Apps prototype.