Data Engineering
The analytical brain
We treat data as your business’s greatest asset. We build the foundation that turns raw information into decisions — securely, with high availability and full traceability.
How we do it
Data Lakehouse architecture. The flexibility of a Data Lake with the rigor of a Data Warehouse, in a single environment for BI and machine learning.
Modern ETL/ELT pipelines. Automated extraction, transformation and loading, so information arrives clean, current and ready for decision-makers.
Governance and DataOps. Access control, anonymization of sensitive data and continuous compliance with LGPD, GDPR and, where applicable, HIPAA.
Predictive analytics. Models that reveal patterns to anticipate demand, optimize inventory, detect fraud and personalize offers.
Reference technologies
Python (PySpark, Pandas) · AWS (S3, Redshift, Glue) · Google BigQuery · Snowflake · Databricks
In practice
Consolidating climate, soil and machinery data in agribusiness, or large volumes of financial transactions, with queries fast enough to support decisions.

