Data holds answers. I turn it into value.

I build reliable data pipelines, develop predictive models, and implement responsible data governance to help organizations make better decisions.

The case studies show the technical approach and its limits.

Selected work

Featured projects

PII classification and consistent pseudonymization across synthetic relational data.

Incremental pipeline handling corrections, late data, quality checks and a dashboard.

Inside Airbnb listing analysis for Amsterdam and Rio de Janeiro: exported Bronze, Silver and Gold layers, with documented execution limits.

Areas of practice

01
Data Engineering
Designing pipelines, transformations, quality checks and systems that make data reliable and available for analysis and reporting.
Case studies
- E-commerce Data Pipeline
- NoSQL Big Data with Databricks
02
Machine Learning
Developing and evaluating predictive models with attention to data quality, interpretability, limitations and responsible use.
Project profile in preparation
03
Data Governance
Data quality, classification, protection and management, including masking and pseudonymization.
Case studies
- Data Governance & Masking