Paula Fonte

SQL Showcase — Advanced queries on public datasets

Wed, 01 Apr 2026 00:00:00 +0000

Showcase of advanced SQL skills through CTEs, window functions, and query optimization on public BigQuery datasets.

ETL pipeline on GCP — Automated ingestion and transformation

Thu, 02 Apr 2026 00:00:00 +0000

End-to-end pipeline with public API ingestion, BigQuery transformation, Airflow orchestration, and dashboard exposure.

Predictive analytics — Demand forecasting and anomaly detection

Fri, 03 Apr 2026 00:00:00 +0000

Predictive models combining weather, sensor, and business signals, with a mathematical approach applied to real operational questions.

About

Tue, 14 Apr 2026 00:00:00 +0000

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.

Contact

Tue, 14 Apr 2026 00:00:00 +0000

Do you have a data project, a freelance mission, or simply want to start a conversation?

You can reach me here:

Email: paulafonte97@gmail.com
Phone: +33 6 16 61 01 16
LinkedIn: linkedin.com/in/paulafonte
GitHub: github.com/PaulaF-source
Location: Paris, Île-de-France — available on-site and remote

Availability

I am available for freelance missions in data engineering, analytics, and predictive modeling. Short and long missions are both possible.

Services

Tue, 14 Apr 2026 00:00:00 +0000

I focus on three complementary service areas, shaped around pipeline reliability, analytical clarity, and automation.

Data Engineering on GCP

For teams that need to centralize fragmented data sources and make them easier to operate.

Connect APIs, files, ERP, or operational tools into a structured data flow
Build ETL pipelines for ingestion, transformation, and loading
Organize and optimize storage on BigQuery
Orchestrate recurring jobs with Airflow

Stack: GCP, BigQuery, Cloud Storage, Dataflow, Cloud Run, Airflow, Docker, Python, SQL