About Amine
Data Engineer | Python | Cloud | AI
- Data Engineering & Big Data: Pipelines, data ingestion, and Machine Learning integration on AWS & other cloud environments.
- Web Development: Creating apps with Django, Flask, and a touch of JavaScript for the final polish.
- Quality & Robustness: Testing, documentation, and best practices – because "it works on my machine" is not a quality criterion.
French
Native or bilingual
English
Fluent
Experience
- ENGIE Global Energy Management & SalesSenior Data EngineerENERGY AND UTILITIESJanuary 2023 - Today (3 years and 7 months)Paris, France- Design and development of data pipelines: Creation of robust pipelines for data collection, processing, storage, and provisioning, with automation via cloud technologies (Azure, AWS) and CI/CD integration.- Python Development: Design of Python libraries deployed in Artifactory, including documentation and tests to ensure reusability and stability.- Time Series Management: Development of a tool for time series management, including collection, processing, storage, and exploitation, as well as the implementation of a dedicated catalog.- Collaboration with business teams: Support for analysts and traders for reliable data-driven analysis and decision-making.- Cloud expertise and documentation: Implementation of innovative cloud architectures, accompanied by rigorous documentation and testing.
- Crédit Agricole CIBData ArchitectBANKING AND INSURANCEJuly 2022 - January 2023 (6 months)Paris, France- Building data pipelines: Design and development of pipelines on Dataiku to collect, process, and exploit data, ensuring reliability and efficiency for data analysts.- Python Expertise: Structuring and optimizing Python scripts, creating reusable solutions to facilitate data analysis.- Structuring and best practices: Implementing development best practices to ensure the quality and maintainability of data projects.- Support for business teams: Assisting teams in optimizing their analyses through efficient tools and processes.
- TotalEnergiesData Scientist / EngineerOctober 2021 - February 2022 (4 months)Bd Périphérique, Paris, FranceContext: Total Energies offers a wide catalog of training courses on the "Lizzy" platform. However, the training search functionality is very basic (simple text search of the title) and there is no mechanism to encourage employees to discover new training. The goal of this project is to implement a first relevant recommendation system and encourage them to train more.Missions:- Design the architecture of the workflow from data retrieval to sending recommendations by email- Integrate data from the Datalake- Data analysis and cleaning- Modeling and development of the recommendation engine- Response time optimization- Integration into a Django project- Development of HTML templates- Push recommendations by email
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Education
- Engineering degree, E-business, IoTEcole centrale de Lille2017Diplôme d'ingénieur, E-business, IoT
- MPSI/MP, MathematicsCPGE Michel Montaigne (Bordeaux)2014MPSI/MP , Mathématiques
Certifications
- Agile ScrumScrumalliance2019