Anthony D.

🔍 About the Project:

I worked as a Python/Django/DRF developer for AFI/ESCA Luxembourg, in the finance and insurance sector. My mission covered a wide scope: development of mass processing, batch orchestration, development of the accounting module, API exposure, and refactoring of existing code with added tests.

📌 Key Achievements:

➡️ Dockerization: Implementation of application containerization to standardize development and production environments.

➡️ Batch Development: Creation of several mass processing batches to automate critical operations in a demanding financial and insurance context.

➡️ Scheduler: Design and implementation of an asynchronous batch processing system using Huey with a queue, ensuring the orchestration and scheduling of different processes in the correct order and at the right time.

➡️ Accounting Module: Development of the accounting part, including specific business logic and export of files in Sage format.

➡️ Data Mapping: Involvement in mapping raw data for import and transformation within the application, ensuring data consistency and integrity.

➡️ API Creation: Development of REST APIs with Django REST Framework to expose business functionalities to internal and external consumers.

➡️ Refactoring & Tests: Refactoring of existing batches and functionalities with the addition of unit and integration tests to ensure application reliability and longevity.

🔍 About the Project:

I worked at TuCommenceDemain as a lead Python/Django backend developer. My mission covered a wide scope: complete application audit, refactoring, performance optimization, implementation of best practices, and leading the migration to a modern DDD/Hexagonal architecture for V2.

📌 Key Achievements:

➡️ Lead Backend: Technical leadership of the backend, defining architectural directions, code reviews, and team support to ensure the quality and consistency of developments.

➡️ Application Audit: Comprehensive analysis of the codebase to identify weaknesses, anti-patterns, and priority areas for improvement.

➡️ Refactoring: In-depth refactoring of the application to improve code structure, readability, and maintainability.

➡️ Performance Optimization: In-depth profiling, resolution of N+1 problems, SQL query optimization, and algorithmic improvements to significantly reduce response times.

➡️ Unit Tests: Implementation of a comprehensive test suite to ensure application stability and reliability.

➡️ CI/CD: Implementation of a continuous integration and deployment pipeline to automate checks and deliveries.

➡️ Code Quality: Integration of modern tools (pre-commit, Ruff, Mypy) to automate checks and ensure consistency of contributions.

➡️ V2 Migration — DDD & Hexagonal Architecture: Leading the migration to a Domain-Driven Design architecture with ports & adapters, providing better separation of concerns and increased scalability.

➡️ Modern Tooling: Implementation of cutting-edge tools (Ty, Tach, Ruff) to reinforce architectural rigor, static typing, and long-term code quality.

🔍 About the Project:

I led the migration of a Flask application to Django in the cybersecurity sector. This project involved a complete architectural redesign, integration with an external API, implementation of a CI/CD pipeline, and creation of a dashboard with Tailwind CSS. I also integrated Elasticsearch to enhance cybersecurity data search and analysis capabilities, and trained custom NLP models with SpaCy for automatic data categorization.

On the architectural level, I oversaw in-depth refactoring using proven design patterns (Chain of Responsibility, Factory Pattern, Strategy Pattern), improving code maintainability and scalability.

📌 Key Achievements:

➡️ External API: Development of a connector ensuring interoperability with a third-party service.

➡️ Elasticsearch: Full integration for advanced search and cybersecurity data analysis.

➡️ AI with SpaCy: Training of custom models for precise data categorization.

➡️ Design Patterns: Architectural refactoring with Chain of Responsibility, Factory, and Strategy Patterns.

➡️ Django Migration: Seamless transition from Flask with guaranteed operational continuity.

➡️ CI/CD: Robust pipeline for rapid and reliable deployments.

➡️ TDD with Pytest: Comprehensive test coverage across the entire application.

➡️ Code Quality: Git pre-commit hooks to ensure contribution consistency.

➡️ PostgreSQL + JSONField: Efficient management of complex structured data.

➡️ Tailwind Dashboard: Modern and intuitive interface enhancing user experience.