Background
I am Paula Fonte, a data engineer with a background that combines mathematical rigor with practical data delivery.
After studying mathematics at the University of Havana, I continued in France with a Master’s degree in Mathematics and Applications at Paris Dauphine-PSL, followed by a Master’s degree in Data Engineering at DSTI.
For two years, I worked as a data engineer in an environmental technology company, managing the full data chain: from centralizing heterogeneous sources on Google Cloud Platform to building Power BI dashboards for leadership teams.
In parallel, I also contributed to research work in mathematical modeling on multilayer graphs and sentiment analysis.
What sets me apart
The combination of mathematics, data engineering, and information clarity is still rare. I do not only build pipelines: I also think about how analytical models stay understandable, trustworthy, and useful in day-to-day operations.
Technical skills
| Area | Technologies |
|---|---|
| Languages | Python, SQL, C++ |
| Cloud | GCP (BigQuery, Cloud Storage, Dataflow, Cloud Run) |
| Orchestration | Apache Airflow, Docker |
| BI & Visualization | Power BI, Looker Studio, Matplotlib |
| Data Science | Pandas, Scikit-learn, mathematical modeling |
| Tools | Git, GitHub, Linux |
Languages
- French: professional working level
- English: advanced
- Spanish: native