For 14 years, I have lived inside the data that a company cannot afford to get wrong. Today, I am transforming that experience into Data Engineering. I am a specialist in SQL/PL-SQL and Oracle, working daily with Oracle databases since 2012. I complemented my background with a postgraduate degree in Data Science, Machine Learning, and Deep Learning from PUC-Rio, and I apply what I learn in real projects: Python, ETL, Data Warehouse, and a Machine Learning MVP I developed to predict NASDAQ stock prices using time series (LSTM and Prophet).
Fourteen years in the fiscal and ERP sector teach you what "critical data" truly means. Procedures that cannot fail. Queries that need to respond in seconds, not minutes. Systems exchanging data with other systems, without losing or duplicating a single record along the way. Just the other day, I tracked down a silent conversion error in a tax calculation routine and took the opportunity to standardize how the system handles tax codes across ERP modules. It's this level of care that I bring to any pipeline I build.
Ultimately, what I offer is: SQL and PL/SQL from someone who has been writing it for 14 years, Python applied to data and Machine Learning models, and the bridge between business and data that only someone who has truly lived inside an ERP understands.
I also enjoy writing about what I learn. I have published a few technical articles on advanced PL/SQL in the Oracle Brasil community, and I plan to do so again, but now focusing on ETL and data engineering.
Work Terms
Data Science, Python, Data Engenering, PL/SQL, ETL, Data Warehouse, Machine Learning, Deep Learning