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Félix Nm T.FN

Félix Nm T.

BI & Data Engineer

€600/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Félix Nm

With my 6 years of experience in data engineering and BI, I have developed a global vision of the data chain that is valuable to me on every project. I master the entire flow, from data ingestion and transformation with GCP, Airflow, dbt and Terraform, to their delivery via Qlik or Power BI. My curiosity for new technologies allows me to optimize each step and ensure end-to-end consistency.
  • Vietnamese

    Native or bilingual

  • English

    Fluent

  • French

    Fluent

Remote only
Primarily works remotely

Experience

  • Moet Hennessy
    BI & Data Engineer
    WINE AND SPIRITS
    August 2021 - Today (5 years)
    Paris, France
    Role within the Sales Maximisation team
    As a Data Engineer and Dataviz Engineer, I handle several analytical use cases to optimize sales approaches:
    • Comparative analysis of product pricing against competitors using Nielsen data
    • Harmonization of product repositories between POS, Wholesalers T1/T2, and internal SAP systems using ML models developed by Data Scientists
    • Analysis of sales performance by Brand, Sales Sector, and adaptation of the security model for each use case
    • Analysis of user behavior while browsing the partner portal

    Achievements:
    • Developed 10+ major applications for over 1500 users, including C-Level
    • Migrated all data platforms from Oracle to GCP over 3 years

    Technical achievements
    To meet business analytical needs, I developed the following solutions:
    • Design of multi-source integration architectures (SAP, Anaplan, Salesforce, Google Analytics V4, SFTP) to Google Cloud Platform
    • Development of ETL pipelines and cloud-native batch predictive models
    • Implementation of dbt best practices: modularity, automated testing, documentation
    • Automation of processes via Cloud Functions, Bash scripts, with deployment and orchestration of pipelines
    • Design and maintenance of BI applications: Power BI & Qlik
    • Optimization of BI performance (star schemas, incremental loading, partitioning)
    • Migration of legacy Oracle systems to BigQuery with change management
    • Incident management and N2/N3 technical support
    • Technical reference and lead position for BI architecture study (modeling, CI/CD) since October 2024

    Technical environment
    GCP (BigQuery, Cloud Storage, Vertex AI, Container Registry), dbt, Airflow, Terraform, GitLab, Python, SQL, Qlik Sense, Power BI, Oracle SQL Developer, Bash
    Agile methodology Data modeling Change management Incident management CI/CD
  • Micropole
    BI & Data Consultant
    CONSULTING AND AUDITS
    January 2020 - Today (6 years and 7 months)
    Levallois-Perret, France
    Internal mission:
    • Design and deployment of tailor-made prototypes for major clients (Qlik Sense, Power BI, GCP, Fabric)
    • Active technology watch on cloud innovations (GCP, Microsoft Fabric) to enrich the Data Experience team's service offering
    • Conducting internal training on data modeling and best practices for dataviz on Power BI

    External mission:
    • Moët Hennessy (Staffing): since August 2021
    • Sephora (Qlik Support): November 2020 - December 2020
    • Moët Hennessy (Qlik & Power BI Support): February 2021 - May 2021
    Training delivery Technology watch Access management Prototyping Non-regression testing
  • SOCOTEC Oil & Gas
    Data Analyst
    CIVIL ENGINEERING
    September 2018 - September 2019 (1 year)
    Paris, France
    • Maintenance and evolution of Power BI dashboards according to business needs
    • Performing ETL tasks for populating datamarts (PostgreSQL)
    • Conducting technical training for Super Users

    Technological environment: Power BI, Tabular Editor, PostgreSQL
    Data modeling Data visualization Relational database Communication

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Education

  • Master in Statistics and Econometrics
    Toulouse School of Economics
    2020
    Logiciels statistiques (R, Python, SAS); Base de données; Économétrie; Data mining; Techniques de sondage; Outils de modélisation (Modèles non paramétriques et Modèles linéaires gaussiens); Web mining; Séries temporelles; Scoring; Big data; Économétrie spatiale; Analyse des durées de vie

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