Patrick Thomas MBONJO ETIA
Pseudonym: Thegretia • Data Engineer, AI & Machine Learning Specialist, and Python Software Architect.
I am a technical architect and builder operating at the intersection of large-scale data systems, production AI/ML inference, and high-concurrency Python backends.
Over the years, I have architected multi-terabyte Lakehouse pipelines on Azure Databricks, engineered low-latency speech recognition and translation engines for under-represented African dialects, and constructed sub-50ms financial streaming anomaly engines.
My engineering philosophy is rooted in measurable business impact: eliminating cloud compute waste, guaranteeing pipeline data freshness, and deploying AI models that operate reliably without unbounded server infrastructure costs.
Core Competencies & Tooling
Data Engineering & Lakehouse
- PySpark & Apache Spark
- Azure Databricks
- Delta Lake (Medallion Architecture)
- dbt-core / dbt-databricks
- SQL (Advanced Optimization & Tuning)
- ETL / ELT Pipeline Architecture
- Azure Data Factory (ADF)
- Great Expectations & Data Quality
AI & Machine Learning
- PyTorch & TorchAudio
- Hugging Face Transformers & PEFT
- Whisper & Wav2Vec2 (ASR / NLP)
- ONNX Runtime & INT8 Quantization
- LLM Orchestration & Embeddings
- Scikit-learn & XGBoost
- Real-Time Streaming ML & Anomaly Detection
- Model Profiling & Latency Optimization
Software & Cloud Infrastructure
- Python (Asyncio, Pydantic, Modern 3.12+)
- FastAPI & High-Concurrency APIs
- Docker & Container Orchestration
- Redis (Streams, Caching, Lua)
- Apache Kafka & Streaming Events
- PostgreSQL & Supabase
- Linux Server Administration
- Git & GitHub Actions CI/CD
Professional Experience & Milestones
Solutions Architect & Solution Trainer
GEMULA
Designing robust technical architectures, leading hands-on technical demonstrations, and delivering comprehensive technical training programs while contributing to high-level strategic decisions.
Software Engineer & Partner
The Intelligent Eyeglass for the Blind (IEGB)
Designing and deploying embedded assistive technology solutions powered by AI, Machine Learning, Cloud Foundations, and Python to empower visually impaired individuals.
Data Engineer (Freelance)
Orange Cameroun
Engineering end-to-end data pipelines for multilingual voice AI systems, specializing in the collection, curation, and preprocessing of audio and linguistic datasets for Speech-to-Text, Machine Translation, and Text-to-Speech models.
Ready to build high-performance data & AI systems?
Whether you need to scale Lakehouse ETL pipelines, deploy custom AI models, or architect resilient Python backends, let's collaborate.