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Riahi IT Solutions
Portrait of Mohamed Mokhtar Riahi

Founder experience

Mohamed Mokhtar Riahi

Riahi IT Solutions is built around Mohamed's hands-on experience delivering AWS-led data engineering work through German consultancies for enterprise industrial environments, with adjacent exposure to Azure integrations, Databricks, Spark, and industrial data platforms.

The public wording stays precise: these examples describe founder experience and technical capability, not direct client claims by Riahi IT Solutions where the work was delivered through previous employers or consultancies.

AWS data platforms

Glue, Lambda, Step Functions, S3, Athena, QuickSight, Terraform.

Adjacent clouds

Azure API/UI integrations and GCP/Azure-aware data integration support when needed.

Analytics engineering

dbt, Databricks, Spark, SQL cleanup, reporting datasets, automated deployments.

Industrial context

HighByte, Litmus, automotive, home appliance, manufacturing, and cloud efficiency analytics.

Credibility

NDA-friendly proof without overstating client relationships.

Built AWS data platform components for automotive and industrial environments
Delivered AWS Glue, Lambda, Step Functions, Athena, QuickSight, dbt and Terraform solutions
Worked with Azure APIs/UIs and can support GCP/Azure-adjacent data integrations when needed
Hands-on with Databricks, Spark, Iceberg, Hudi, Delta Lake, Kafka, HighByte and Litmus contexts
Worked with enterprise clients including automotive and home appliance environments
AWS Certified Data Engineer - Associate
AWS Certified Solutions Architect - Associate
M.Sc. Data Engineering and Analytics, Technical University of Munich

Professional background

07/2024 – Present

Data Engineer · Data Reply

Munich, Germany · Confidential premium automotive manufacturer (Germany)

Relevant stack: AWS, Python, CI/CD, GitHub, ECS, Step Functions, Lambda, dbt, SQL, QuickSight, Glue, Athena, Terraform

10/2021 – 06/2024

Working Student: Data Engineer · Data Insights GmbH

Munich, Germany · Confidential multinational home-appliances manufacturer

Relevant stack: AWS, Java, Scala, Gradle, Python, CI/CD, Bitbucket, Bamboo, EMR, Step Functions, Terraform