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Martin ZaïdiMZ

Martin Zaïdi

Data Engineer

€600/day
Toulouse, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Martin

I am a data engineer specializing in Python, SQL, and PySpark, with experience in demanding industrial environments.

Specifically, I help teams make their data usable and reliable by building transformation pipelines, structuring datasets, and improving data quality.

At Airbus, I worked on complex data issues related to configuration management, with challenges in traceability, consistency, and availability for various business uses.

I can assist with:
- Data pipeline development (Python / PySpark / SQL)
- Data transformation and structuring (ETL)
- Data quality analysis and problem-solving
- Providing datasets for analysis or reporting
- Supporting business teams in understanding data

I prefer remote assignments, with the possibility of on-site presence in Toulouse if needed.
  • French

    Native or bilingual

  • English

    Fluent

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

Experience

  • Alten, Airbus
    Data Engineer
    AVIATION AND AEROSPACE
    October 2023 - Today (2 years and 10 months)
    Toulouse, France
    Design and automation of integration pipelines between CoreAll and Skywise (Foundry). Modeling and validation of a database with +200 tables for product configuration. Reduction of critical data access time by 40% through PySpark/SQL query optimization. Implementation of governance monitoring and automatic data quality audits. Tools: PySpark, SQL, Python, Palantir Foundry (Skywise), Git, Agile
    PySpark Palantir Foundry SQL Agile methodology Git
  • Alten, Airbus
    Data Scientist
    AVIATION AND AEROSPACE
    October 2023 - December 2023 (2 months)
    Toulouse, France
    Development of an NLP model to analyze customer behavior and extract key insights. Tools: Python, NLP, scikit-learn, SpaCy, seaborn
    Python NLP Teaching Data science ACM
  • Alten, Airbus
    Data Scientist
    AVIATION AND AEROSPACE
    September 2022 - February 2023 (5 months)
    Toulouse, France
    Deployment of a predictive model for production delays on Skywise → +25% planning accuracy. Automation of historical anomaly reporting via Python & Power BI. Tools: Python (pandas, scikit-learn), Skywise, Power BI
    Python Palantir Foundry Data science Data analysis PySpark

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Education

  • Master in Applied Mathematics
    Université Paul Sabatier
    2022
    Master en mathématiques appliquées
  • Bachelor's degree in Fundamental and Applied Sciences
    Université Paul Sabatier
    2019
    Licence en Sciences Fondamentales et Appliquées

Skill set

Categories