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Sami BoulechfarSB

Sami Boulechfar

Google Certified Data Engineer | Python, SQL, GCP

€450/day
Paris, FR
3-7 years

Average response time: 1 hour

About Sami

🎯 Google Cloud Certified Data Engineer with 3 years of experience building automated, scalable data platforms. My expertise lies in Python, SQL, Power BI and GCP.

🔧 Stack: Python, SQL, Power BI, GCP (BigQuery, Dataflow, Pub/Sub, Composer, Cloud Storage), Git.

✅ Delivered reliable data solutions for finance, banking & luxury clients:
- Saved finance teams 4 working days per month by automating financial reporting processes, while improving data accuracy.
- Secured a €60k annual contract by building a mobile scraping solution for key luxury brands.
- Engineered a full data pipeline, centralizing 30k+ monthly rows from 20+ e-commerce platforms to enable competitive market insights.

🧠 Side Projects & Leadership:
- Creator of Stoice, an interactive storytelling app (Python + Flutter)
- 🏆 Winner – Hermès Innovation Challenge 2021 (team lead & presenter)

💼 Currently available for freelance missions (remote or hybrid, Paris)
💰 Daily Rate (TJM) : 450 € / day
  • French

    Native or bilingual

  • English

    Fluent

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

Experience

  • France Active
    Data Engineer
    BANKING AND INSURANCE
    September 2024 - September 2025 (1 year)
    Paris, France
    Key contributor to data transformation initiatives, supporting strategic decision-making within France Active, a network dedicated to empowering socially engaged entrepreneurs.

    - Saved finance teams 4 working days per month by automating financial reporting processes, while improving data accuracy.
    - Centralized and standardized data for 3 business units (guarantee, investment, financing) via 3 Big Query data warehouses, enabling cross-entity analytics and faster strategic decisions.
    - Delivered executive Power BI dashboards connected to Big Query, used by leadership to monitor KPIs and guide monthly strategy meetings.
    - Centralized business data extractions into Cloud Storage to streamline data sharing and processing using Python and SQL.
    - Documented and structured data workflows to ensure reusability, maintainability, and scalability.

    - Multi-project management and cross-team collaboration, coordinated with various teams : France Active Garantie, France Active Investissement and France Active Financement to address the specific needs of each entity.
    - Presentation of results to leadership, effectively communicated insights and recommendations, ensuring alignment between data and strategic goals.
    Python SQL Microsoft Power BI ETL Google Cloud Platform (GCP)
  • Data&Data
    Data Scientist
    LUXURY GOODS
    September 2023 - September 2024 (1 year)
    Paris, France
    Online data analysis with luxury brands

    - Drove a €60k annual client contract by building a mobile scraping solution to analyze preloved luxury watch prices.
    - Built 2 PostgreSQL data warehouses to centralize product data, pricing, availability, and images.
    - Developed ETL workflows across 20+ e-commerce platforms, centralizing 30k+ rows monthly in 2 SQL data warehouses, enabling competitive market insights.
    - Built 3 Power BI dashboards for Cartier, Chanel, Hermès & Tag Heuer, supporting product availability monitoring, pricing analysis, and competitor strategy.
    - Implemented cloud storage using Azure Blob Storage to host and reference images in Power BI, enabling visual integration into shared reports..

    - Conducted strategic analysis to help clients position themselves in the second-hand market.
    - Classified luxury products from store window images, enabling clients to monitor compliance with their policies by resellers worldwide.
    - Utilized Git extensively for effective version control management.
    - Provided guidance and training to juniors in online data production and extraction processes.
    Python SQL Microsoft Power BI Microsoft Azure Git
  • BNP Paribas
    Data Analyst
    BANKING AND INSURANCE
    February 2023 - September 2023 (7 months)
    Luxembourg, Luxembourg
    Data analysis to detect correlations between investment fund inventories and subscriptions to BNP Paribas Forex services. Conception and development of a BNP Paribas customer data analysis software to detect new commercial opportunities.

    - Conducted strategic analysis of the foreign exchange market with a team of business experts.
    - Acted as an intermediary between the technical team and the business unit to understand needs.
    - Extracted insights from investment fund datasets to identify factors encouraging BNP clients to subscribe to their Forex offers.
    - Design of a complex relational database schema in PostgreSQL, integrated with a REST API developed using FastAPI, and a data analysis software for investment funds. This tool, used by BNP's business experts, enables the detection of new business opportunities.
    - Managed projects using agile methodologies, including sprint management and organizing and leading weekly meetings with business and technical experts.
    - Detection of anomalies in data from BNP Paribas' Fund Administration (FA) service, contributing to the improvement of data quality.
    Python SQL flask Git Big Data FastAPI

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Education

  • Master's degree of engineering in computer science
    Telecom Nancy
    2023
    Master in Computer Science at Telecom Nancy Specialized in Artificial Intelligence and Big Data, the school most selective track. Main subjects: Advanced Artificial Intelligence, Big Data Management, Parallel Algorithmics, and Clustering. 4th best computer science school in France according to Figaro 2023.
  • CPGE, PSI* et MPSI
    Lycée Claude Bernard, Paris XVI and lycée Charlemagne Paris IV
    2020
    Intensive courses to prepare for the competitive entrance examination to the french Grandes Ecoles (Top french engineering schools), including a second year in the "classe étoilée", a selective track for students with excellent first-year results. Attended Lycée Claude Bernard, Paris XVI, and Lycée Charlemagne, Paris IV. Main subjects: Mathematics, Physics-Chemistry, and Engineering Science.

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