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Olivier LegerOL

Olivier Leger

Python Software Architect – Complex Systems

€690/day
5 projects
Guyancourt, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Olivier

🐍 Python Software Architect specializing in the design of complex systems, back-end services, and automation.

💼 5-10 years of experience in software development, technical architecture, and innovative project management in various environments: industry, data, robotics, connected objects, and business tools.

🚀 Primarily involved in:
• Software architecture & Python back-end
• Automation & data pipelines
• Complex systems & business engines
• Custom technical tools
• Data & advanced processing

🌍 Primarily available for remote work with occasional travel possible for strategic meetings, workshops, or project launch phases.

🧠 Passionate about complex technical challenges, architectural challenges, and innovative projects.

🎯 Qualities: autonomous, curious, rigorous, and problem-solving oriented.
  • English

    Fluent

  • French

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Safran composite
    Python Software Architect – Data Platform & Digital Transformation
    AVIATION AND AEROSPACE
    October 2021 - Today (4 years and 10 months)
    Itteville, France
    Overview

    Development of an SDAI (Standard Data Access Interface) platform as part of the digital transformation and standardization of technical data at Safran Composites.

    Project Objective

    Design a software solution capable of centralizing, interpreting, validating, and transforming technical models and data from various sources to facilitate inter-departmental exchanges and prepare for the integration of future analysis and artificial intelligence tools.

    Achievements

    • Design and development of the platform's complete software architecture
    • Integration and utilization of ISO STEP industrial standards as well as specific Safran business models
    • Development of a parsing and interpretation engine allowing dynamic loading of data models without manual class generation
    • Real-time validation of data, types, business constraints, and global rules
    • Development of a mapping system for transforming and communicating data between different business contexts
    • Implementation of communication and exploitation interfaces for demonstrators and future AI integrations
    • Development of several interconnected and highly modular Python libraries
    • Management of versioning and industrialization of developments under GitLab

    Technical Environment

    Python, Software Architecture, Data Modeling, Parsing, Interpreter, Data Validation, APIs, GitLab, Automation, Digital Transformation, Industry.
    Data Engineer Software Architecture Python Development API Python Backend Developer
  • Projet personnel
    Architecture and Development of an Algorithmic Trading Platform
    SOFTWARE PUBLISHING
    January 2020 - Today (6 years and 7 months)
    Overview

    Design and development of a complete platform for analysis, processing, and automation of strategies in financial markets.

    Project Objectives

    Develop an architecture capable of collecting, storing, analyzing, and exploiting real-time market data to generate and optimize decision-making strategies based on Machine Learning and Artificial Intelligence.

    Main Achievements

    • Backend development using Django
    • Design of data models and management of application configurations
    • Collection, preparation, and transformation of large-scale financial data
    • Development of data processing and analysis pipelines
    • Exploitation of real-time market data streams
    • Development of automated decision-making algorithms
    • Design and training of Machine Learning, Deep Learning, and Reinforcement Learning models
    • Automatic parameter optimization via genetic algorithms
    • Deployment and operation of the platform under Docker

    Technical Environment

    Python, Django, REST API, Celery, Pandas, NumPy, Machine Learning, Deep Learning, Reinforcement Learning, Data Engineering, Docker, Git.
    Django Python API Machine Learning Docker
  • Confidentiel
    Development of a Data and Digital Services Platform for Publishing and Media
    CULTURE
    April 2017 - December 2017 (9 months)
    France
    Overview

    Participation in the backend design and development of a platform for centralizing and exploiting digital data for the publishing, media, and literary sectors.

    Project Objective

    Develop a platform capable of aggregating, structuring, searching, and exploiting large amounts of data related to works, authors, media, and digital content.

    Main Achievements

    • Design and development of the application backend
    • Development of data import and processing tools
    • Design of SQL and NoSQL data architecture
    • Development of APIs and business services
    • Management of user accounts and access rights
    • Development of services for managing catalogs, lists, and digital content
    • Implementation of a search engine for the platform's data
    • Deployment and operation of services under Docker
    • Cloud hosting and deployment on Scalingo
    • Corrective and evolutionary maintenance of the platform

    Technical Environment

    Python, Flask, REST API, SQL, NoSQL, Docker, Cloud, Scalingo, Backend Development.
    Python Flask API Backend Development Software Architecture

Reviews

5.0

Out of 3 ratings

P

Patrick

GoodBook

Reviewed on 9/11/2017

P

Patrick

GoodBook

Reviewed on 9/4/2017

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Education

  • Project Manager in IT and Robotics
    IMERIR, Perpignan
    2016
    Overview: Formation d'ingénieur orientée conception et réalisation de systèmes informatiques complexes, combinant développement logiciel, robotique, intelligence artificielle et gestion de projet. Principaux domaines étudiés : Architecture et développement logiciel Développement web frontend, backend et APIs Bases de données SQL / NoSQL Réseaux, systèmes et déploiement d'applications Robotique mobile et robotique industrielle Conception et intégration de systèmes embarqués Intelligence artificielle, algorithmique avancée et réseaux de neurones Gestion de projet, organisation d'équipe et méthodes de développement Analyse des besoins métiers et conduite de projets techniques Compétences développées : Conception de solutions logicielles, architecture de systèmes, développement full-stack, traitement de données, automatisation, intelligence artificielle et pilotage de projets techniques multidisciplinaires.

Skill set

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