I am a data and AI engineering professional with over eight years of solid experience in Data Analysis, Engineering, and Visualization projects within complex corporate environments. I hold a degree in Industrial Engineering, an MBA in Project Management, and a specialization in Data Science and Artificial Intelligence, complemented by Lean Six Sigma Black Belt certification.
I possess proficiency in Python, SQL, and PySpark, with extensive experience developing scalable data pipelines in cloud environments (mainly AWS and Azure). My technical expertise spans modern data architectures and orchestration tools including Apache Spark, Apache Kafka, Kubernetes, Terraform, and Databricks (data platform). I've implemented end-to-end Data Lake and Data Warehouse solutions using open-source technologies such as MinIO, Apache Iceberg, Trino, DBT, Apache Airflow, and Metabase, with strong expertise in data governance, versioning, and automation of complex analytical processes.
Most recently, I've been deepening my expertise in AI Engineering and multi-agent systems architecture. I've designed and implemented sophisticated agent orchestration frameworks, including specialized subagent systems for data analytics and workflow automation. This work demonstrates my ability to architect complex AI systems that leverage foundation models to autonomously solve specialized domain problems while maintaining seamless inter-agent collaboration. I've also developed agent-based architectures where autonomous agents handle distinct responsibilities—from pipeline optimization to quality assurance—while working cohesively on enterprise-scale problems. This includes designing multi-agent collaboration patterns, managing agent specialization through domain expertise encapsulation, and orchestrating parallel execution for complex workflows.
Beyond technical foundations, I bring strategic experience in Supply Chain Management, Digital Transformation, Fraud Prevention, and Internal Audit, enabling a systemic perspective focused on generatingMore...