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Malt Strategy
Mohamed KiddiMK

Mohamed Kiddi

Data ENGINEER/Data Scientist

€200/day
Marrakech, MA
0-2 years
SQL
Python
Apache Airflow
Data Warehousing
Data science

Average response time: 1 hour

About Mohamed

Data Engineer specializing in building scalable cloud data pipelines and modern data architectures.

I design end-to-end data solutions using Snowflake, Apache Airflow, Python, and SQL—transforming billions of records into actionable insights for analytics and AI applications.

Key Achievements:
✓ Architected automated ETL/ELT pipelines processing 50+ data sources daily
✓ Reduced operational monitoring time by 80% through AI-powered automation
✓ Implemented dimensional data models and real-time analytics dashboards
✓ Expertise in data quality frameworks, incremental processing, and cloud optimization

Technical Stack: Snowflake | Airflow | Python | SQL | PySpark | BigQuery | Data Modeling | ETL/ELT

Background: Master's in Data Engineering & Data Science with foundations in mathematics, ML, and AI.

Driven by: Creating reliable, scalable data infrastructure that empowers data-driven decision-making.

  • Arabic

    Native or bilingual

  • English

    Fluent

  • French

    Fluent

Can work on-site
Marrakech (up to 50km)

Experience

  • UM6P– College of Computing
    Summer Data Science Internship
    July 2023 - September 2023 (2 months)
    Ben Guerir, MK, Morocco
    – Developed machine learning and deep learning models to optimize MPI communication patterns for large-scale PDE solvers and Benchmarked more than 12 ML and DL models, contributing to a research paper published.
    Data science Machine learning Deep Learning MLOps
  • DigitalProduction Center, UCA
    end of study internship
    TECH
    April 2022 - June 2022 (2 months)
    Marrakech, MK, Morocco
    Developed a full-stack web application using Spring Boot, Angular, and Docker-based microservices for financial services use cases.
    Spring boot Angular Docker Java JavaScript
  • Value Driven Data
    Data engineer
    E-COMMERCE
    November 2024 - February 2026 (1 year and 3 months)
    Dubaï, United Arab Emirates
    End-to-End Market Data ELT-ETL Pipelines on Snowflake
    • Designed, developed, and maintained end-to-end data pipelines using Snowflake, ensuring reliable, high-quality datasets ready for analytics and machine learning use cases.
    • – Leveraged Snowflake features (Data Warehouse, Streams, Tasks) to automate data workflows and manage incremental updates, collaborating with cross-functional teams to deliver weekly client requirements.
    Automation & AI-Orchestrated Data Pipelines
    • Automated existing data pipelines using Apache Airflow, monitored DAGs, and integrated VM connections for seamless workflow orchestration.

    • Developed a Python/Pydantic AI control agent to validate pipelines and trigger corrective actions, reducing operational monitoring time by 80%.
    Python Data Warehousing Apache Airflow Machine learning Data Engineer

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Education

  • Bachelor Level
    Bachelor Level
  • MSc
    Mohammed VI Polytechnic University (UM6P)
    2024
    MSc
Check out Mohamed's education

Skill set

Data Engineer
AI and Advanced Analytics

Categories