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Ferroudja D.FD

Ferroudja D.

Data Engineer / Analytics Engineer

€550/day
Sartrouville, FR
3-7 years
Hybrid profile: solid technical skills + excellent business understanding
Ability to frame, challenge, and secure data projects from end to end
Autonomous, structured
Data analysis
Experience in demanding environments

Average response time: 1 hour

Freelancer profile translated to English.
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About Ferroudja

Experienced Data Analytics Engineer with a strong technical foundation and a dual culture of data & business. My profile sits at the intersection of data engineering, analytics, and Agile management, with a proven ability to work on data architecture, industrialization, and valorization in complex environments (banking, luxury, energy).

With a developed analytical mind, strong technical curiosity, and rapid learning ability, I enjoy solving complex problems and transforming business needs into reliable and scalable data solutions.

Rigorous and autonomous, I evolve effectively in Agile environments and distinguish myself by my ability to structure and leverage data to serve business objectives.

  • English

    Fluent

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

Experience

  • BNPP
    Business Analyst & Data Engineer Dataiku
    July 2024 - February 2026 (1 year and 7 months)
    **Project Context**: Participation in the creation of a payment data foundation centralizing the transaction lifecycle.

    Part-time involvement in a second project for building ETL workflows and the Data Warehouse layer using Dataiku and SQL for analytical purposes.

    **Team Composition**: Initial team of 4 developers (2 based in India), 1 Tech Lead, and 2 Business Analysts, later expanded to 6 developers.



    **Activities**:
    • Implementation of ETL processes: Design and development of pipelines integrating multiple data sources in different formats (json, .dat, csv) with Dataiku and PostgreSQL, ensuring reliable, traceable, and fully automated flows.
    • Data integration: Design and maintenance of a payment data foundation and construction of ingestion and transformation pipelines.
    • Database management: Modeling, optimization, and data exploitation in MongoDB.
    • Deployment and operations: Deployment in various environments, including production, in close collaboration with Ops teams, to ensure controlled, reliable, and operationally compliant go-lives.
    • Business analysis and specification: Study of functional requirements related to banking payment scenarios and transaction lifecycle, challenging solutions, and translating them into Jira backlog items.
    • Monitoring: Manipulation of application logs via LaaS (Elasticsearch) and creation of Kibana dashboards for flow monitoring and application analysis.
    • Scrum master: Facilitation of agile rituals (daily, sprint planning, refinement, retrospective), coordination between technical and business teams for translating needs.
  • Boucheron
    Data Engineer / Analytics Engineer
    LUXURY GOODS
    October 2022 - July 2024 (1 year and 9 months)
    Paris, France
    **Project Context**: The project's objective is to design and deploy a new data platform, governed by metadata (metadata-driven), within a GCP cloud ecosystem.



    **Team Composition**:
    • Initial phase on a fixed-price contract with a team of 10 people: cloud architect/FinOps, DevOps architect, senior data engineer, data engineer, project manager, BI specialist, and myself as Data Analytics Engineer.
    • 9-month team intervention, followed by a transition to full autonomy on the project.
    • Mentoring of 2 junior profiles (skill development / training).
    • Knowledge transfer to 2 internal developers.


    **Activities**:
    • Architecture & modeling: Design of the datalake, datawarehouse, metadata model, and business layer on the GCP ecosystem, particularly BigQuery.
    • Data integration & processing: Implementation of data pipelines and a metadata-driven architecture ensuring scalability, automation, and enhanced governance.
    • Reporting & restitution: Development of Power BI dashboards meeting business needs, particularly in the supply chain and retail sectors.
    • Scoping & business analysis: Definition of functional scope, collection, analysis, and challenging of requirements with business teams to align the solution with operational expectations.
    • Mentoring & knowledge transfer: Post-production support in Task Force mode, supervision of development teams, and knowledge transfer to internal teams.
    Cloud GCP Big Query Python Microsoft Power BI Github Actions
  • namR
    Geomatics Data Scientist
    REAL ESTATE
    September 2021 - September 2022 (1 year)
    Paris, France
    **Project Context**:

    As part of a project on Dataiku, I was responsible for preparing, integrating, and modeling data to develop Machine Learning models applied to energy consumption and GHG emissions of buildings in France.

    **Team Composition**:

    Team composed of an internship manager, 4 senior Data Scientists, an intern, and myself as a Data Scientist apprentice.
    Close collaboration with Data Engineering teams.

    **Activities**:
    • Machine Learning & Feature Engineering: Development of predictive models and creation of variables from geospatial data to improve model accuracy (energy consumption and GHG emissions).
    • Data processing & integration: Manipulation and automation of PostgreSQL and Python scripts for data ingestion, transformation, and preparation.
    • Geospatial data: Analysis, integration, and visualization with QGIS, enriching models and facilitating result interpretation.
    • Data pipelines & CI/CD: Industrialization of workflows in Dataiku and automation of deployments via GitLab CI, to enhance the reliability and speed of processing.


    **Results**:

    ✅ Development of predictive models improving the estimation of energy consumption and GHG emissions of buildings.
    ✅ Improved model performance through feature engineering and integration of geospatial data.
    ✅ Design of an algorithm to optimize the number of solar panels that can be installed, contributing to better exploitation of the energy potential of homes.
    Python PostgreSQL Git Dataiku QGIS

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Education

  • Master's in Big Data
    Sup de Vinci
    Machine Learning DeepLearning Data Mining Hadoop ETL Entrepôt de données Analyse de projets Elastic Search Scrapping
  • Computer Science Bachelor's Degree
    Université Sorbonne Paris Nord
    2020
    Analyse et structure de donnée Génie Logiciel Modélisation de données (UML) Bases de données (SQL) Développement Web Développement Java Langage C avancé Automates

Skill set

Python
sql
Web development
Data visualization
JavaScript
Database administration
PostgreSQL
Git
VBA
Excel
Agile methodology

Categories