Loic Djinou

Hello and welcome to my profile! 👋

With several years of experience (notably at Actense and AFP), I work on the entire data lifecycle: from extraction to final use, including industrialization in the Cloud.

My "Full-Stack Data" approach allows me to work on 5 major pillars for your projects:

⚙️ DATA ENGINEERING & ARCHITECTURE (Core Expertise) • Creation and maintenance of robust and automated data pipelines (ETL/ELT). • Strong expertise in Data Quality Monitoring: anomaly detection, integrity checks, and implementation of strict processes to ensure the reliability of your critical datasets (Finance, HR, DSN).

☁️ CLOUD ENGINEERING & DEVOPS • Industrialization and deployment of distributed architectures. • Mastery of Cloud environments (AWS), containerization (Docker, Kubernetes), and CI/CD pipelines (GitLab, GitHub) for fast and secure deliveries (microservices).

💻 BACKEND DEVELOPMENT (PYTHON) • Creation of business applications, advanced automation scripts (web scraping, API integration), and custom monitoring tools developed in Python.

📊 DATA ANALYST & BUSINESS INTELLIGENCE • Advanced querying (SQL, PostgreSQL) and data modeling. • Creation of real-time analytical dashboards to facilitate decision-making for your business teams.

🤖 DATA SCIENCE & AI • Predictive modeling, time series analysis, and Deep Learning. • Robustness testing and feature engineering (generation, outlier treatment, MLOps).

🤝 My working method: Accustomed to Agile environments (Scrum), I am committed to documentation, transparency (proactive communication), and the "Quick Wins" approach to bring value to my clients as quickly as possible.

💬 Do you have an ambitious data project, or does your infrastructure need to be made reliable and scalable? Let's discuss it!