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Rodrigue F.RF

Rodrigue F.

Data Engineer - Analytics Engineer - BI

€550/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Rodrigue

I am a Data Engineer & BI Consultant, specializing in building robust data pipelines and developing interactive dashboards. I help companies grow by optimizing their data strategy for informed decision-making.


🎯 Areas of Expertise

- Building and optimizing data pipelines: Proficient in DBT for automating and optimizing ETL processes.

- Data Warehouse modeling and management: Expertise in BigQuery and Snowflake for structuring and organizing your data.

- Extracting and analyzing KPIs for strategic decision-making: Extracting relevant KPIs to drive performance and strategy.

- Implementing Dashboards and Reporting: Expertise in Looker for creating impactful data visualizations.

- Training and upskilling teams on BI tools: Training teams on Looker and implementing self-service BI solutions.

- Agile Methodology: Agile approach for efficient and adaptable project management.


⚙️ Technologies and Tools

- BI: Looker, Tableau

- Data Transformation: DBT, Airflow

- Data Warehouse: BigQuery, Snowflake

- Cloud Platform: Google Cloud Platform (GCP)


I quickly acquire new skills and adapt easily to the specific needs of each project. I am available to discuss your data needs.

#Looker #DBT #BigQuery #BI #GCP #AnalyticsEngineer #DataEngineer #DataAnalyst #GoogleCloudPlatform
  • French

    Native or bilingual

  • English

    Conversational

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

Experience

  • POMONA
    Data Engineer
    AGRICULTURE
    September 2024 - Today (1 year and 9 months)
    Antony, France
    Context.
    POMONA Group wishes to implement a Data Warehouse on Snowflake with the aim of centralizing and optimizing the management of data related to inventory, orders, and sales. The main objective is to provide a single, reliable, and scalable data source to meet reporting needs related to supplier service rate monitoring.

    Work Performed.
    - Participation in needs analysis workshops
    - Contribution to the development of the target architecture and technological choices
    - User creation and permission management on Snowflake
    - Implementation of an access rights policy for different Snowflake objects
    - Implementation of unit tests to ensure data accuracy
    - Implementation of a deployment strategy for dbt models in different environments
    - Creation and modeling of datamarts in different environments
    - Design of automated data pipelines for data ingestion and transformation
    - Monitoring of dbt models to detect and resolve anomalies
    - Responsibility for the management and configuration of dbt and Snowflake instances

    Deliverables.
    - Versioned dbt pipelines with integrated automatic tests
    - Datamarts built in Snowflake and optimized for BI needs
    - Power BI reports

    Technical Environment:
    Snowflake, dbt, Gitlab, SAP, SNP Glue, Power BI
  • BforBank
    Data Engineer
    BANKING AND INSURANCE
    August 2023 - June 2024 (10 months)
    Puteaux, France
    Context.
    In a context of developing new banking offers and increasing demand for activity monitoring dashboards, BforBank wished to strengthen its data strategy by implementing a modern infrastructure based onGoogle Cloud Platform (GCP)and **Looker**. The main objective was to improve data accessibility, facilitate real-time analysis, and enhance decision-making.


    Work Performed.
    • Participation in analyses, impact assessments, and technical scoping
    • Collaboration with business teams to identify their data visualization needs and propose suitable solutions
    • Creation of new data products and evolutionary and corrective maintenance of existing data products
    • Design of automated data pipelines for integrating and transforming data from Kafka topics
    • Creation of activity monitoring dashboards allowing managers to track company performance in real-time
    • Training of end-users on Looker usage to promote tool adoption and team autonomy
    • Technical documentation of data products
    • Participation in data migration to the Google Cloud Platform, enabling better data management and security

    Deliverables.
    • Versioneddbtpipelines with integrated automatic tests
    • Datamarts built inBigQueryand optimized forBIneeds
    *Lookerdashboards (customer journey, activity performance, CRM, etc.)
    • Implementation ofself-service BIonLookerfor business teams, reducing reliance on technical teams.
    Looker BigQuery DBT Atlassian JIRA Atlassian Confluence Gitlab CI/CD Cloud GCP
  • UGC Ciné
    Data Engineer
    FILM AND AV
    April 2023 - July 2023 (3 months)
    Neuilly-sur-Seine, France
    Context.
    UGC Group undertook to centralize data from its various cinemas into a single **Data Warehouse**. The objective is to provide a unified platform for different business domains (marketing, cinemas, finance) to strengthen data-driven decision-making and improve operational efficiency.

    Work Performed.
    • Gathering user requirements
    • Analysis and extraction of relevant data from multiple databases from different cinemas
    • Design and implementation of a robust Data Warehouse architecture, based on a Data Vault data model to meet scalability and historical data management needs
    • Implementation of optimizations to ensure high performance for analytical queries, while maintaining flexibility to add new data sources to the Data Warehouse
    • Workflow orchestration to ensure regular and reliable loads.

    Deliverables.

    *Data Vaultdata models
    • Scalable and optimized Data Warehouse
    • Automated Data Pipelines
    Vertica Airflow SQL

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Education

  • Specialized Master in Business Intelligence & Analytics
    EISTI
    2020
    Le programme Mastère Spécialisé® est validé par un bac+6 accrédité par la Conférence des Grandes Écoles. La formation comprend : - Théorie de la Business Intelligence : chaîne décisionnelle (vision globale et approche détaillée des différentes phases de la chaîne), modélisation, conception des différentes phases, exemples de mises en place. - Gestion de projet décisionnel : fondamentaux de la gestion de projets et focus sur les spécificités d’un projet BI - Pratique de la Business Intelligence : gestion de la qualité des données (MDM), extraire, transformer et charger (ETL), reporting, multidimensionnel, datamining. - Projet d’entreprise BI : les étudiants mènent un projet BI d’entreprise. Celui-ci consiste en la mise en place d’une solution décisionnelle en réponse à une problématique proposée par une entreprise. Ce projet permet aux étudiants de consolider leurs acquis dans le cadre d'un projet réel.

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