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Fatima-Zahra ChafiFC

Fatima-Zahra Chafi

DATA ENGINEER

€700/day
Alfortville, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Fatima-Zahra

Experienced professional in the data field, specializing in the collection, analysis, and processing of digital data. Proven expertise in SQL and NoSQL databases, data visualization, Big Data, Machine Learning, and modeling. Passionate about Data Science and Data Engineering, I solve complex problems using various programming languages and technologies. I seek to apply my skills to innovative projects focused on data valorization.
  • French

    Native or bilingual

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

Experience

  • ENGIE
    TECH LEAD | SENIOR DATA ENGINEER
    ENERGY AND UTILITIES
    August 2023 - Today (2 years and 10 months)
    Paris, France
    As Tech Lead & Data Engineer on the B2C Data Platform, I managed and executed the entire data lifecycle: from receiving multi-format files to their integration, transformation, and valorization into Delta Tables on Databricks.

    I designed the architecture and implemented services for data reception and security on CDH S3. I developed pipelines in Python, Scala, and PySpark for automatic detection, processing, transformation, and storage of data. I applied business enrichments and segmented data according to needs, while orchestrating flows via Apache Airflow.

    I established advanced monitoring practices, regular code reviews, and performance optimization. I documented each step and guided the team on DevOps best practices (CI/CD, Git, Azure DevOps, Terraform).

    Technical Stack: Databricks, Python, Scala, Spark, PySpark, Delta Tables, S3, Glue, Airflow, Azure DevOps, Terraform, Cloudwatch, Git, SQL, Oracle.
  • ENGIE
    DATA ENGINEER
    ENERGY AND UTILITIES
    November 2022 - July 2023 (8 months)
    Paris, France
    Within the scope of managing file flows related to electricity and gas distribution, I designed and implemented a robust data processing infrastructure, covering all stages: data retrieval, validation, integration, and publication of data exchanged with partners.

    I led the analysis of business needs, then developed and optimized scripts to ensure the efficiency of the processing pipeline. I implemented validation controls, managed project parameters, and automated data exchanges with partners.

    I used Informatica to transform and integrate data into business tables, created automated mappings and workflows, and generated datasets on S3 via the Common Data Hub (CDH). I also developed PL/SQL procedures and collaborated with Java and PL/SQL teams for fine-grained data purging.

    In production, I automated deployments via Jenkins, set up monitoring and orchestration with Airflow and Cloudwatch, and managed incidents. Detailed documentation and knowledge transfer were provided to ensure system sustainability.

    Technical Stack: Python, Korn shell, Informatica, SQL, PL/SQL, Java, S3, CDH, Airflow, Cloudwatch, EC2, Kinesis, Jenkins, GitLab, Postgresql, AWS, XML, JSON, CSV.
  • Banque de France
    DATA ENGINEER
    BANKING AND INSURANCE
    January 2022 - November 2022 (10 months)
    Paris, France
    Within the OPC2 project, dedicated to collecting and processing financial and prudential data to meet regulatory requirements, I held a dual role of Data Engineer and Tech Lead. I coordinated the development, management, and transformation of data, as well as the implementation of a user interface (UI) to ensure the quality and compliance of deliverables with business needs.

    I led the functional and technical analysis of the project, collaborated with business and IT teams to ensure proper consideration of requirements and the development of robust solutions. I developed and tested new features (Python, Pandas, SQLAlchemy, Pyspark), and supported the creation of a user-friendly interface with Angular, focusing on clear visualization of key data.

    I also oversaw the monitoring and deployment of processes in production, coordinated unit, integration, and functional validation tests, and ensured system stability in a DevOps environment (GitLab CI/CD, Jenkins).

    Technical Stack: Python, Pandas, SqlAlchemy, Pyspark, PostgreSQL, PG Admin, Angular, Typescript, HTML, Javascript, Shell, Unix, DevOps, Git, GitLab CI/CD, Jenkins, xldeploy, Citrix.

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