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Guillaume AbdoulhoussenGA

Guillaume Abdoulhoussen

Senior Data & Analytics Engineer

600 €/jour
Paris, FR
8-15 ans

Délai de réponse moyen : 1h

À propos de Guillaume

Experienced data professional with 6+ years of experience and a proven track record of delivering results in the Internet/Fintech industries and SaaS companies.

Grounded in strong software and data engineering principles (including data orchestration, dimensional modeling and data warehousing), I focus on designing scalable data platforms and building maintainable infrastructure that empowers teams to make data-driven decisions.

I'm passionate about driving impactful data projects and I'm looking for remote opportunities in Data & Analytics Engineering within a collaborative and product-focused environment.

Technical skills:
• Languages: SQL (6 years), Python (4 years), Bash (4 years)
• Warehouses: PostgreSQL (6 years), Snowflake (3 years), Databricks (1 year)
• Data transformation: dbt Core (3 years)
• Data orchestration: Airflow (3 years), Prefect (1 year)
• Data visualisation: Tableau (3 years), Metabase (3 years)
• Cloud computing: AWS (3 years), Azure (1 year)
• Version control: Git (GitHub & GitLab) (3 years)
• CI/CD: GitHub Actions, GitLab CI (3 years)
• Infrastructure as Code: Docker (3 years), Terraform (3 years)

What I care about:
• Engaging collaboration with stakeholders, identifying their critical needs & preferences
• Driving innovation with a tech-savvy & cost-efficient approach
• Soughting out learning opportunities & sharing vision with tech & non-tech people
• Solving problems with an excellent detail-oriented way
• Improving developers' experience and standardising data foundations & onboardings
  • Français

    Bilingue ou natif

  • Anglais

    Bilingue ou natif

Accepte de travailler sur site
Paris (jusqu’à 50 km)

Expériences

  • Wakam
    Senior Data Analytics Engineer
    BANQUE & ASSURANCES
    février 2024 - juillet 2025 (1 an et 5 mois)
    • Mentored a team of 5 Analytics Engineers on best practices and projects delivery
    • Built dbt Core, Snowflake & SQL guidelines for the data office (~30 people)
    • Set up end-to-end CI/CD pipeline for testing and deploying a Python project
    • Automated data documentation with Python, reducing manual effort and enhancing data governance
    • Contributed to architecture a CORE data model based on insurance products and policies
    • Led the development of a data quality testing system, reducing data quality issues by 50%
    • Defined and built KPIs & data products with business teams, enhancing performance insights
    • Designed ELT data pipelines with Prefect, enhancing data accuracy by 25%
    • Implemented observability to monitor Snowflake performances and costs (reduced costs by 20%)
    • Developed an internal CLI tool to streamline data platform operations and boost team efficiency
    • Led data platform projects that enabled faster business decisions (+30% of reporting efficiency)

    Skills: Azure · dbt Core · Snowflake · Databricks · Prefect · Metabase · Azure DevOps · Azure Pipelines · SQL · Python · Bash · Data Modeling · CI/CD · Docker · Terraform · Notion
    Snowflake Python SQL DBT Modélisation des données
  • SumUp
    Analytics Engineer
    HIGH TECH
    octobre 2023 - février 2024 (4 mois)
    • Collaborated with different tribes and gathered requirements to build KPI trees
    • Contributed to dbt & SQL conventions in a data mesh architecture
    • Created incremental & transactional models for data analysts & Finance reporting (+10M daily rows)
    • Built and managed ELT data pipelines with Airflow & dbt
    • Built dbt macros to store product & business logics for dbt projects
    • Built CI pipeline to lint & test modified dbt models changes on pull requests for a squad of 20 people

    Skills: AWS · dbt Core · Snowflake · Airflow · Tableau · GitHub · GitHub Actions · SQL · Python · Bash · Data Modeling · CI/CD · Docker · Terraform · Jira
    AWS SQL Airflow DBT Modélisation des données
  • Qonto
    Senior Data Analyst / BI Engineer
    septembre 2022 - septembre 2023 (1 an)
    • Reviewed current data modeling solutions and practices
    • Cleaned & enhanced current data model to get one source of truth
    • Built data lineage & dbt models from raw to datamart layer
    • Contributed to best practices, standards & code style guide
    • Automated Tableau workbooks refreshes with Airflow (+100 automated extract refreshes)
    • Contributed to build data models for ~15 Company OKRs and ~80 Finance KPIs with C-levels stakeholders

    Skills: AWS · dbt Core · Snowflake · Airflow · Tableau · Metabase · GitLab · SQL · Python · Bash · Data Modeling · Docker · Terraform · Notion
    AWS SQL Python DBT Airflow

Recommandations

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Formations

  • Master's degree •
    INSEEC Grande Ecole
    2017
    Master's degree •
  • Bachelor's degree
    CY Cergy Paris Université
    2014
    Bachelor's degree

Compétences

Catégories