Freelancer profile translated to English.
Back to original languageAbout Jules
Do you need robust and scalable data pipelines? Are you looking to automate your processing on AWS or detect anomalies in your pricing, production, or consumption data?
I can help you achieve these goals. As an experienced Data Engineer (ENGIE Green, URBASOLAR), I implement reliable data architectures – from collection to visualization – using a modern stack: Python, Spark, Pandas, AWS (Lambda, Step Functions), Databricks, Docker, FastAPI, and PowerBI.
French
Native or bilingual
English
Native or bilingual
Spanish
Conversational
Can work on-site
Montpellier (up to 50km)
Experience
- Engie GreenData EngineerENERGY AND UTILITIESSeptember 2024 - Today (1 year and 11 months)Montpellier, FranceImplementation of processing Lambdas with Pandas/Spark.Analysis of energy price data to identify anomalies and inefficiencies. Transformation of time-series data and management of different time zones.Orchestration of flows using StepFunctions and other AWS services such as EventBridge.
- URBASOLARData EngineerENERGY AND UTILITIESSeptember 2023 - September 2024 (1 year)Montpellier, FranceImplementation of ETL pipelines with Spark.Analysis of production data to identify anomalies and inefficiencies."Bronze" processing of IoT inverter data using GO scripts & JSON formatting compliant with the target application's schema.Analysis of reports to identify areas for improvement and propose solutions.
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Education
- Master in Data Engineering ExpertiseEPSI2026Big Data et Collecte de données Stockage de données Conception de pipelines
- Bachelor in AI DeveloperEPSI2024Machine Learning ETL Data Visualisation