I design and build data pipelines, backend systems, and AI-driven solutions using open-source technologies, with a strong focus on real-world business and institutional problems, particularly in African contexts.
- 🧱 Design robust data architectures (on-premise & cloud-ready)
- 🔄 Build data pipelines (ETL / ELT)
- 🐳 Containerize applications with Docker & Docker Compose
- 🗄️ Work with PostgreSQL and relational data models
- 🤖 Develop AI & automation prototypes (OCR, NLP, analytics)
- 📊 Turn raw data into actionable insights
Languages
- Python
- SQL
- Bash
Data & Backend
- PostgreSQL
- Pandas / Polars
- SQLAlchemy
- FastAPI
Data Engineering
- ETL Pipelines
- Data Modeling
- Data Quality
- Logging & Monitoring (basic)
DevOps & Infra
- Docker
- Docker Compose
- Linux
- Git & GitHub
Currently Learning
- Airflow
- Terraform
- Cloud (GCP)
- Advanced Data Platform Design
Here are some projects that reflect how I work in real-world scenarios:
-
Data Pipeline with Docker & PostgreSQL
End-to-end ETL pipeline with containerized services. -
Document Scanner & OCR to Excel
AI-powered document digitization and structured export. -
Mini Data Platform (On-Premise Ready)
Modular architecture designed for institutions and SMEs.
See repositories below for full documentation and setup instructions.
- Clean project architecture
- Clear documentation (README-first)
- Reproducible environments
- Focus on scalability & maintainability
- Business-oriented thinking
I aim to build practical, scalable, and accessible data & AI solutions that empower businesses, institutions, and young innovators, especially in emerging markets.
- LinkedIn: www.linkedin.com/in/magloire-kadima-6a9996183
- Email: [email protected]
⭐ Feel free to explore my repositories and reach out!