Description

Senior Data Engineer/Architect, 16 years in IT, 8 in Data Engineering. I've built Lakehouse architectures, integrated complex systems (SAP, Salesforce, multiple ERPs), and work mainly with SQL, Python, Spark, and Azure stack.

AWS Glue, S3 and Athena.

Languages

English
Conversational
Italian
Conversational
Portuguese
Native or bilingual

Workplace preferences

Can work on-site

Vicenza (up to 50km)

Freelance
Data Engineering Consultant Independent Consultant
January 2024 - Today (2 years and 7 months)
Europe
Delivering specialized Data Warehouse modernization and architecture projects for enterprise clients across Europe. Designing staging-layer automation, metadata-driven ETL frameworks, and optimizing SQL performance for both on-prem and Azure environments.
SSIS SQL Server Microsoft Azure Synapse Python
AgroGalaxy
Senior Data Architect & Lead Engineer
February 2022 - Today (4 years and 6 months)
Osasco, SP, Brazil
Led the unification of data from 8 subsidiaries and Salesforce CRM into a single Azure-based Lakehouse platform, built around real-time ingestion pipelines using Event Grid, Service Bus, Event Hub, and Azure Streaming Analytics. Integrated SAP and Salesforce into the central analytical model with Raw, Trusted, and Refined layers, enabling corporate reporting and ML models. API Integration & Data Extraction: SAP, Salesforce, REST APIs. Technologies: Azure (Data Factory, Synapse, Blob Storage, Functions, Cosmos DB, Key Vault), PostgreSQL, Oracle, SQL Server, Python, Azure DevOps.
Python Apache Spark Synapse PostgreSQL Azure Functions
Ernst & Young (EY)
Senior Data Architect & Engineer
July 2020 - February 2022 (1 year and 7 months)
São Paulo, State of São Paulo, Brazil
Worked on predictive maintenance data pipelines for a major Brazilian bank, collecting ATM hardware and software logs nationwide. Developed normalization and aggregation processes that produced unified datasets for the Data Science team, enabling early-detection models and reducing ATM downtime. Implemented hybrid AWS–Azure integrations for large-scale ingestion and processing. Technologies: AWS (S3, Glue, Athena, Redshift), Azure (Data Factory, Synapse), Teradata, PostgreSQL, SQL Server, Python, Snowflake, DBT, Airflow.
Teradata SAAS Python Bash Data Factory