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Bertrand FabreBF

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About Bertrand

  • I help Data, Analytics, and BI teams improve their skills in SQL and BigQuery on GCP through practical, cost- and performance-oriented training.
  • I offer a 3-day (21-hour) SQL on BigQuery training course, designed for groups of up to 10 participants, available in-person or remotely via video conference.
  • The goal: to make teams autonomous, more efficient, and in control of their BigQuery costs.

Training Content
The training covers, among other things:
  • Standard SQL and BigQuery specifics
  • Performance and cost optimization
  • Partitioning, clustering, and best practices
  • Analytics and BI use cases

Teaching Approach
The training is based on a fictional flagship project, inspired by realistic business issues (retail, sales, customers, performance, costs).
This approach allows for coherent progression over the 3 days and immediate application in a business context.

Adaptability
The content is adaptable to the participants' level and the company's challenges (Data Engineering, Analytics, BI).
A price reduction may be offered for training multiple groups within the same organization.

Contact
Feel free to contact me to discuss your needs and get a training quote on Malt.

☝️ I prefer to discuss in advance to understand the context, the teams' level, and the training objectives, in order to propose a suitable format.
  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • Adeo
    BigQuery Expert focused on FinOps, Data & Performance
    RETAIL (LARGE RETAILERS)
    June 2025 - Today (1 year)
    Ronchin, France
    • FinOps BigQuery Referent in a high-volume retail context
    • Audit of BigQuery usage and identification of key cost-saving levers
    • Implementation of short- and medium-term optimization strategies
    • Industrialization of cost monitoring and anomaly detection via dedicated pipelines and APIs
    • Contribution to the client's data maturity in cost management
    BigQuery Terraform SQL Python DBT
  • Datayoka
    Data Engineering Evangelist – Watch, Pedagogy & Content Creation
    May 2024 - Today (2 years and 1 month)
    • Co-host of the DataWatch podcast, dedicated to Data Engineering trends.
    • Analysis and discussion of recent technical and conceptual articles on BigQuery, Data Engineering, best practices, and industry trends, in order to simplify and share knowledge.
    BigQuery FinOps SQL Data Engineering Data Modeling
  • Auchan Retail France
    Data Engineer - Modeling, ELT Pipelines & Data Quality
    RETAIL (LARGE RETAILERS)
    November 2023 - June 2025 (1 year and 7 months)
    Villeneuve-d'Ascq, France
    • Modeling of new data exposures
    • Creation of ELT pipelines
    • Pipeline orchestration
    • Creation of SQL procedures for application consumption
    • Creation of Data Quality monitors (data freshness, uniqueness, rejection tracking, volume, consistency)
    • Participation in defining and disseminating data modeling, quality, and governance standards within teams
    BigQuery SQL Airflow DBT Python

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Education

  • MSc in Computer Science and Statistics (GIS)
    Polytech'Lille
    2019
    Ingénieur GIS, Génie Informatique et Statistique
  • DUT in Statistics and Decision Informatics
    University of Law and Health (Lille II)
    2016
    DUT STID, Statistique et Informatique Décisionnelle

Skill set

Categories