Guilherme Belisario

Data Engineer

Turning data into decisions — robust pipelines, cloud architecture and big data.

About me

Guilherme Belisario

I'm Guilherme Belisario de Oliveira, a 25-year-old data engineer born in Brazil with Italian citizenship. My journey began in Chemical Engineering — a foundation that taught me to think systemically and analytically. The transition to data came through an internship and quickly became a passion: the ability to extract intelligence from large volumes of information and transform it into concrete decisions.

With a postgraduate degree in Data Engineering from PUC Minas and experience at companies in the pharmaceutical and financial sectors, I built a multidisciplinary view of the data ecosystem. I work effectively with both technical and business teams, translating business needs into data solutions that work in practice.

3+ Years in the field
2 Major companies
3 Certifications

Experience

Data Engineer

2025 – Present

TDWBi / Bradesco

Optimization and automation of data pipelines in the credit sector. Ensured quality and efficiency of data flows, created business rules, and produced strategic tables. Implemented modifications to the customer classification engine, improving analytical results in an internal database.

Spark Databricks SQL Azure GitHub Actions

Business Analyst

2023 – 2025

Grupo Fagron

Created strategic dashboards and performance reports to support commercial decision-making. Modeled ETL pipelines, defined KPIs with stakeholders, and automated reports to improve business processes.

Power BI Python SQL

Tools

Python Python
Apache Spark Apache Spark
Apache Airflow Apache Airflow
Microsoft Azure Microsoft Azure
Google Cloud Google Cloud
Databricks Databricks
SQL SQL

Projects

Extract
XLSX DOCX PDF
Transform
DuckDB CSV
Load
Azure Multi CSV
BI Reports
Dashboards
Decisions

ETL Azure Connector

Data Pipeline

ETL pipeline that integrates data from multiple formats (XLSX, DOCX, PDF) into Azure Data Lake Storage — automating ingestion, eliminating manual processes, and serving as a foundation for BI and strategic analysis.

Continuous automation with scheduled updates
Native integration with Azure Synapse and Power BI
Test coverage with pytest (unit + integration)
Python DuckDB Azure pandas pytest Poetry
View on GitHub