_
$ cat about.txt
Data Engineer building the infrastructure
that transforms raw data into revenue.
Architect of CRM pipelines (+$100M) and
Data Owner of the Data Catalog for 3,000+ users/month.
$ echo $STACK
→ Python · SQL · Airflow · Databricks · Azure · Spark
$ echo $LOCATION
São Paulo, SP · Brazil
$ _
I don't just build pipelines — I own data products end-to-end. I prioritize reliability, performance and quality to ensure information drives real impact on business decision-making.
I designed and delivered automation solutions and web crawlers that unlock real business value, not just technical wins, aligning technology with commercial strategy.
I optimize legacy queries and ELT/ETL pipelines with time reductions exceeding 80% through hands-on performance tuning, serving 3,000+ users at scale.
📂 db_gabriel
▸ gabriel
▸ family
▸ hobbies
▸ education
▸ certifications
▸ skills
▸ soft_skills
▸ tools
▸ experience
▸ achievements
-- 👹 Welcome to my personal database!
-- Try running a query. Examples:
--
-- SELECT * FROM gabriel;
-- SELECT name, level FROM skills WHERE level > 85;
-- SELECT * FROM education ORDER BY start_year DESC;
-- SELECT role, company FROM experience;
-- SHOW TABLES;
--
-- Tip: click on the examples below 👇
End-to-end analytics pipeline for CVM 210 investment funds. Serverless ingestion via AWS Lambda, S3 Data Lake storage and distributed processing in Databricks with Medallion Architecture (Bronze→Silver→Gold).
🎯 Highlight: Automated Medallion Architecture (AWS + Databricks) processing restricted CVM 210 data with Delta Lake (ACID).
Comprehensive AWS Data Lake with Medallion Architecture. Processed 1.1M records via Glue (PySpark), analytical queries in Athena and impact dashboards in Power BI about COVID-19 in Brazil.
🎯 Highlight: Processing of 340+ MB of raw data (1.1M+ records) via AWS Glue (PySpark) and Athena.
Predictive ML model for preventive health: classifies obesity risks by analyzing behavioral patterns (diet, physical activity, transportation) instead of traditional anthropometric metrics.
🎯 Metric: End-to-End Pipeline with 87% accuracy (Random Forest) and interactive web interface via Streamlit.
Machine Learning system to predict the daily direction of the Ibovespa. Complete pipeline with advanced feature engineering, automated hyperparameter optimization and rigorous time-series holdout validation.
🎯 Metric: 75.76% accuracy and automated optimization via Optuna with temporal holdout validation.
Predictive model (Random Forest) for loan default propensity with interactive analytical dashboard in Dash/Plotly. Risk visualization by state/region, key default metrics and credit portfolio analysis.
🎯 Metric: 72% accuracy and interactive analytical dashboard for corporate decision-making.
Microsoft
2026
Aspire Institute (Harvard Business School)
2025
Astronomer
2025
Astronomer
2025
Certiprof
2023
FIAP
2022
Bradesco
I architect and manage the core data pipelines of a CRM that supports $100M+ in monthly revenue. I act as Data Owner of the internal Data Catalog (3,000+ users/month). Optimized SQL/ELT processes by +80% and built automations with high business impact.
Confidential (NDA)
Autonomous development of ETLs processing millions of daily records. Built pipelines and automations using Python, DBT and DuckDB. Created frameworks to accelerate development, also coding in Node.js, Java and Scala.
Keyrus · Internship
Developed ETL/ELT pipelines and features for a corporate data catalog. Implemented a business glossary, MySQL integrations, and refactored legacy SQL achieving +50% performance gains.
FIA Business School
Technical leadership and corporate vision. Focused on connecting data engineering to business goals, managing the crucial intersection between teams, technology, and financial results.
FIAP
Advanced analytical intelligence and modeling. The essential link to ensure the technical data infrastructure supports precise, value-driven decisions.
FATEC-SP
The cornerstone of my vision as a Data Engineer. Rigorous foundations in system architecture, software engineering, and modeling to build robust and scalable infrastructures.
Open to high-impact challenges in Data Engineering and partnerships in consulting. Shoot me a message!