🎯 Data professional with experience in Big Data, Data Warehousing, and Analytics — designing and operating end-to-end data pipelines and architectures to support strategic decision-making and the modernization of analytical platforms.

🔐 Involved in handling sensitive data in regulated environments, contributing to the adoption of security, governance, and privacy standards aligned with data protection regulations (e.g., LGPD/GDPR), ensuring traceability and trust in information delivery.

🤝 Strong collaboration with technical and business stakeholders in agile data squads, participating from requirements refinement and data modeling to solution design, monitoring, and operational excellence.

🚀 Hands-on experience modernizing pipelines and data environments, improving performance, efficiency, standardization, and integration in cloud-native architectures with both batch and streaming workloads.

🧰 Tech Stack:
Databricks (Delta Lake, Unity Catalog, Workflows), Apache Spark (PySpark/Scala), Apache Airflow, Talend, Python, SQL & PL/SQL, AWS (S3, Lambda, Glue, Redshift, Athena, EMR, Kinesis, SQS, SNS, MSK/Kafka), PostgreSQL, Oracle, MySQL, MongoDB, ScyllaDB, Cassandra, Data Warehousing, Data Governance, Data Modeling, ETL/ELT, Data Quality, Data Streaming, Power BI (DAX), Grafana, Git/GitHub, Jenkins, Linux.

📌 Areas of Expertise:
Data Architecture · ETL/ELT · Data Quality · Data Modeling · Data Governance · Observability · Streaming · Operational Analytics · Sensitive Data Support · Agile Delivery (Scrum/Kanban)