Pierre Graef

Experience

  • Data Engineer

    CeA

    2024 – Present

    Strasbourg, France

  • Intern Data Analyst

    Munich Re

    2024

    Munich, Germany

Copyright © 2026

Data Engineer

Available

I am a Data Engineer specializing in data architecture, ETL pipelines, and cloud integration. Proficient in Python, SQL, Spark, Airflow, I design scalable data systems, optimize workflows, and build insightful dashboards with Power BI. With international experience, I transform complex datasets into actionable business solutions.

PythonSQLApache SparkAirflowDockerPower BIAzureGit
My CV

Projects

Hands-on data engineering builds

Motorsport Data Pipeline (ETL + Dashboard)

Motorsport Data Pipeline (ETL + Dashboard)

Web scraping, SQLite, and Streamlit for multi-championship motorsport data
MarketPulse API

MarketPulse API

A Dockerized Financial Microservice in Python
Scuderia Ferrari F1 - ELT to Dashboard (Python)

Scuderia Ferrari F1 - ELT to Dashboard (Python)

API, Sqlite and Streamlit
Clustering - Customer Personality (K-means/PCA)

Clustering - Customer Personality (K-means/PCA)

Business analysis of a company’s ideal customers
AI Chatbot Integration on my Portfolio

AI Chatbot Integration on my Portfolio

Interactive assistant for portfolio exploration
Vehicle Market Analysis - Visualization & Predictions

Vehicle Market Analysis - Visualization & Predictions

Data analysis of a vehicle dataset of Kaggle
Neural Networks

Neural Networks

Mathematics Behind Neural Networks

Articles

Opinions, takes and news on data, AI and tech

Microsoft Fabric — Keeping Capacity Costs Under Control

Microsoft Fabric — Keeping Capacity Costs Under Control

Notes from the field on monitoring and cutting the Microsoft Fabric bill — the Metrics app, smoothing, throttling, and the levers that actually move the number.
Opus 4.8 — Knowing What It Doesn't Know

Opus 4.8 — Knowing What It Doesn't Know

A short take on what actually feels different about Opus 4.8 — fewer forced conclusions, more honesty about its own gaps.

Copyright © 2026