Description

Senior Python developer specialized in backend APIs, data pipelines, and automation systems.

I help companies build, improve, and maintain Python services using FastAPI, Django, Flask, PostgreSQL, Redis, Celery, and Docker.

My typical missions include backend API development, ETL workflows, business process automation, integrations, and production performance improvements. I also help modernize legacy applications and make Python systems more reliable in production.

I have strong experience in real-time, trading, and energy environments, but I also work on more general backend and data-driven projects.

Core stack: Python, FastAPI, Django, Flask, PostgreSQL, Redis, Celery, Docker.

Also used: Airflow, Pandas, AWS, Azure, Kubernetes.

I’m a strong fit if your team needs to:

ship backend features without compromising reliability
handle real-time or high-volume data flows
reduce production issues and firefighting
build systems that are easier to maintain and scale over time

Available for remote missions in EU/UK time zones.

Feel free to get in touch if you need a Python developer for backend services, APIs, ETL pipelines, or automation.

Langues

Français
Bilingue ou natif
Anglais
Capacité professionnelle complète

Préférences en matière de lieu de travail

En télétravail uniquement

Travaille majoritairement à distance

Engie Global Energy Management & Sales
Consultant Software Engineer
septembre 2023 - Aujourd'hui (2 ans et 9 mois)
Contributed directly to trading desk operations by building new features and ensuring high reliability of front-office applications used by energy traders.

Key Achievements
Developed and enhanced mission-critical in-house trading applications using Python, .NET Core, Flask, Redis, Celery, SQLAlchemy, Pandas, and PostgreSQL, deployed in Azure Cloud environments.
Designed and delivered the Day-Ahead Bidding platform, automating energy market bids using Apache Airflow, significantly reducing manual workload and improving bidding accuracy through forecast-driven decision flows.
Improved trader efficiency by creating intuitive UI features and modernizing front-end components with Angular, ensuring fast and responsive user workflows.
Led migration of legacy applications to modern cloud-ready architectures, boosting performance, scalability, and maintainability.
Built and maintained CI/CD pipelines (Azure DevOps), enabling reliable and frequent releases while ensuring system quality and uptime.
Diagnosed and resolved complex production incidents, reducing downtime and safeguarding business-critical trading operations.
Refactored large codebases for better readability, performance, and long-term sustainability.
Participated in architectural strategy, providing technical leadership and advocating for scalable, cost-efficient system design.

Business Impact
✔ Enhanced trading speed and decision-making capabilities
✔ Increased automation → reduced operational risk and manual errors
✔ Improved core system performance and user satisfaction
Python DevOps C# Kubernetes Trading
BNP Paribas Asset Management
Consultant Software Engineer
septembre 2022 - septembre 2023 (1 an)
Python Developer – Trading & Data

Built and optimized ETL pipelines using Python & Pandas
Integrated new crypto exchanges through a unified wrapper
Developed microservices for real-time arbitrage & delta-neutral strategies
Contributed to scalable, high-performance architectural decisions
Ensured system reliability through testing & debugging
Worked with AWS for Kubernetes deployments and API rollout

Achievements
💚 Faster decision-making with improved data processing & reliability
💚 Reduced exchange onboarding from weeks to days
💚 Increased detection of profitable trading opportunities
💚 Stable performance even during volatile market conditions
💚 Minimized downtime and improved release quality
Python Kubernetes ETL Data science
Musca Capital
Quantitative Developer
janvier 2018 - janvier 2023 (5 ans)
• Designed and implemented a scalable microservices ecosystem from the ground up
• Collaborated with the client to refine and formalize technical requirements
• Built and maintained key components:
FastAPI asynchronous API serving multiple internal services
Django-based web app supporting trading strategy execution (delta-neutral & directional)
Python microservices for real-time data ingestion (WebSockets), service monitoring & automated trading logic
A unified exchange wrapper providing a consistent API and data model for every integrated crypto exchange

Achievements
💚 Faster exchange integration with standardized architecture
💚 Fully automated and scalable trading operations
💚 Increased system resilience through proactive monitoring
💚 Delivered a production-ready trading platform supporting business growth
Python Trading C# Crypto