Paul Romieu is a data-driven engineering leader based in Copenhagen who builds real-time, scalable pipelines that turn messy electricity and operations data into reliable forecasts and actionable products. Currently Team Lead at Electricity Maps, he architected ingestion, anomaly detection, and missing-data estimation systems and developed a global GPZD model to estimate hourly generation from sparse production and weather inputs. Previously at HelloFresh he automated critical ops, introduced Airflow/Databricks practices across the Nordics, and shipped user-facing tools with Python, Docker and Streamlit while managing and mentoring teams. Paul blends a builder’s mindset and startup energy with formal engineering training from École Centrale and DTU, and has a knack for turning low-frequency, heterogeneous data into automated, production-ready solutions.
1 year of coding experience
6 years of employment as a software developer
Classes préparatoires, MP/MP*, Classes préparatoires, MP/MP* at Lycée Janson-de-Sailly
Technical University of Denmark
Master of Engineering - MEng, Engineering Technology, General, Master of Engineering - MEng, Engineering Technology, General at École Centrale de Lyon
The open source repository for Electricity Maps App and data parsers that enables a real-time visualisation of the CO2 emissions of electricity consumption
Contributions:22 reviews, 24 PRs, 45 pushes in 2 months
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