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Ayoub BenigmimAB

Ayoub Benigmim

Expert data engineer

€350/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Ayoub

Data Engineer with over 4 years of experience, specializing in GCP and Big Data solutions.

Expert in building scalable ETL pipelines using Apache Spark, Airflow, and Delta Lake, I am currently supporting retail operations at ALTEN/Carrefour France.

I help companies transform their raw data into strategic decision-making levers through modern cloud architectures and advanced analytics platforms.

If you need Data Engineering expertise focused on production deployment and reliability, let's discuss it. I can help you quickly translate business challenges into a solid technical architecture.
  • Arabic

    Native or bilingual

  • French

    Native or bilingual

  • English

    Conversational

Remote only
Primarily works remotely

Experience

  • Carrefour LINKS
    Expert Data Engineer
    RETAIL (LARGE RETAILERS)
    October 2025 - Today (8 months)
    Rabat, Morocco
    *Analytics Engineering with dbt:Development of modular dbt models and reusable SQL templates to standardize data transformations across the global product catalog.

    *Cost Optimization:Design and implementation of incremental loading strategies in dbt, leading to significant reductions in BigQuery operational costs and Airflow slot consumption.

    *Data Integrity:Optimization of upstream models using surrogate hash keys to ensure strict 1:1 relationships, guaranteeing 100% report reliability.

    *Complex LookML Engineering:Development of a dynamic tokenization system in Looker for comparative analysis (PoP), replacing fragile SQL queries with robust logic capable of handling up to 60 months of history.

    *Project Industrialization:Transformation of experimental Jupyter notebooks into industrialized production pipelines, leveraging the dbt, Apache Airflow, and GCP ecosystem.

    *Quality & DevOps:Implementation of unit tests with Pytest for data validation and integration of SonarQube for static code analysis within CI/CD pipelines on GitLab.

    Technical Environment:
    GCP: Cloud Functions, Cloud Storage, BigQuery, Pub/Sub
    Languages: Python, SQL (BigQuery standard),
    Tools: dbt, Lookml, GitLab CI/CD, Terraform (infra as code),
    Methodology: Agile/Scrum, JIRA, Confluence
    BigQuery Python SQL Apache Airflow DBT
  • btechnologie
    Data Engineer confirmed
    TELECOMMUNICATIONS
    October 2024 - September 2025 (11 months)
    Rabat, Morocco
    • Implementation of pipelines to collect, transform, and store large volumes of data (CRM, data usage, network logs) with Dataflow, BigQuery.
    • Design and maintenance of foundational tables, data lakes, and data warehouses on GCP.
    • Orchestration of workflows with Airflow, VTOM, and ARCANE.
    • Quality control, documentation of flows, preparation of datasets for business units.
    • Migration to GCP cloud and integration of open-source solutions.
    • Automation of environments via Terraform, code review, level 3 support, technical presentations, RUN on-call duties.
    • CI/CD Deployment: Gitlab CI, Ansible. Python for internal automations.
    Creation and automation of serverless workflows using Cloud Functions for:
    • triggering processing upon file deposit in GCS,
    • managing notifications and errors,
    • calling APIs.
    Technical Environment:
    • GCP: Cloud Functions, Cloud Storage, BigQuery, Pub/Sub, Dataflow (optional)
    • Languages: Python, SQL (BigQuery standard), YAML (deployments)
    • Tools: GitLab CI/CD, Terraform (infra as code), Stackdriver
    • Methodology: Agile/Scrum, JIRA, Confluence
    Python Git SQL BigQuery cloud storage
  • Marocmétrie
    Data engineer
    FILM AND AV
    August 2021 - September 2024 (3 years and 1 month)
    Casablanca-Settat, Morocco
    Marocmétrie is a TV audience analysis company where I had the opportunity to work on several projects, including:
    - The creation of a data processing platform on a Data Lakehouse for processing and analyzing Marocmétrie data using Spark, Delta Lake, Apache NiFi, Apache HBase, and Apache Superset as the environment.

    - Automation of the production chain by creating orchestrated pipelines using Apache Airflow.

    - Development of a mobile application for our clients to display Moroccan TV audience data and the most popular TV programs. I used Flutter and FastApi as a REST API to get data from a MongoDB database that was fed by an Apache Airflow ETL program coded in Python. The application was deployed using Docker in a CentOS virtual machine.

    - Implementation of a new information system with several modules to improve the user experience for the production and panel team. It was developed using VueJS for the user interface, FastAPI as a REST API to retrieve data from a PostgreSQL database.
    Python Delta Lake Data architecture Apache Airflow SQL

Recommendations

Youssef QatibYQ
Othmane AllouchOA
Sadiq El-MaterziSE
Youssef Qatib and 2 other people have recommended Ayoub

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Education

  • Master 2 (M2), Big data and cloud computing
    Université Hassan II Aïn Chock de Casablanca
    2023
    la mise en place d'infrastructures, de solutions et de logiciels qui manipulent les big data, l'exploitation de statistiques, d'analyses quantitatives ou de techniques de modélisation pour influencer ou prendre des décisions. quantitatives, d'analyse ou de modélisation pour influencer ou prendre des décisions
  • Bachelor's degree, Mathematics and Computer Science
    Université Hassan II Aïn Chock de Casablanca
    2020
    Licence, Mathématiques et informatique

Skill set

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