À propos de Kevin
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Espagnol
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Expériences
- NWSenior Backend Python Software Engineer – Trading Platform & HypervisorENERGIEoctobre 2023 - Aujourd'hui (2 ans et 8 mois)Paris, France○ GCP Microservices Overhaul: Technical leadership in refactoring the backend toward an asynchronous modular architecture (Python, FastAPI, multiprocessing) deployed on a Kubernetes cluster.○ Data Engineering: Massive ingestion of IoT telemetry via MQTT. Automated real-time failure detection (Outage management) via Apache Flink streams on Apache Kafka.○ Observability: Complete supervision of financial and industrial infrastructure with real-time alerting (Prometheus, Grafana, Sentry).
- NWSenior Software Engineer – Market Operations & Trading PlatformENERGIEoctobre 2023 - août 2025 (1 an et 10 mois)Paris, France○ Event-Driven Architecture & Trading: Architecture and development from scratch of a microservices backend core in Python / FastAPI for algorithmic order execution on intraday and day-ahead SPOT markets (Nord Pool) for a fleet of 800 BESS (1 GW).○ Low Latency Streaming: Implementation of an ultra-resilient event-oriented architecture via Apache Kafka on GCP infrastructure for asynchronous processing of market signals and instruction routing (380 billion data points processed per year).○ Reliability & Security: Strict software implementation of regulations (FCR, aFRR). Encryption and secure interfacing with RTE and Fingrid telecontrol systems (ICCP/TASE, IEC 104-5) and auction platforms.○ Engineering Culture & Quality: Strict application of Clean Code principles. Implementation of CI/CD pipelines (GitHub Actions) requiring high test coverage (Pytest) and extensive Code Reviews to ensure regression-free deployments.
- EDFBackend Python Engineer & L3 Supportoctobre 2020 - novembre 2022 (2 ans et 1 mois)Rennes, France• ● API Overhaul & Development (Flask): Ownership of a legacy codebase (10 years). Massive object-oriented refactoring (Clean Code, reduction of technical debt by 60%). Development of new internal APIs in Flask for the client portal.• ● CI/CD & DevOps: Strict use of Git Flow methodology, test integration and deployment automation under GitLab CI.• ● Data Engineering: Processing of massive data volumes (Pandas) and manipulation of Oracle and PostgreSQL databases via SQLAlchemy.• ● L3 Support: Proactive analysis of complex incidents (Root Cause Analysis).
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Formations
- Bachelor's degreeUniversity Paris 1 Panthéon-Sorbonne2017Bachelor's degree
- Azure Microsoft Certified Azure Administrator AssociateAzure Microsoft Certified Azure Administrator Associate