Summary
Matheus Jericó is a seasoned Data Engineer with nine years of experience designing and operating scalable multi-cloud data platforms, currently based in Brasília. He has led technical teams at Luizalabs to build Big Data infrastructures using Kubernetes, Kafka, Spark, Airflow and observability stacks, and has hands-on expertise creating Kubernetes operators in Golang and automation products in Python. His background spans end-to-end data work—from embedded systems and firmware early in his career to deploying Delta Lakehouse architectures and reducing ETL costs by 82%—demonstrating uncommon breadth across hardware, data engineering and MLOps. Comfortable in both GCP and AWS ecosystems, he combines platform architecture, CI/CD and monitoring to deliver reliable, production-grade pipelines and ML deployment flows. Known for mentoring teams and translating complex orchestration needs into pragmatic operator-driven automation, he brings a pragmatic engineering mindset informed by an electrical engineering degree and specialization in AI.
9 years of coding experience
7 years of employment as a software developer
Specialization, Artificial Intelligence, Specialization, Artificial Intelligence at IESB
Engineer's degree, Electrical and Electronics Engineering, Engineer's degree, Electrical and Electronics Engineering at Universidade de Brasília
English, Portuguese