Summary
José Hisse is a Staff Data Engineer based in Rio de Janeiro with nine years of experience building and operating large-scale data and ML platforms. He has led data platform and MLOps work at Grupo OLX and will bank, designing scalable pipelines and production ML deployments using Kubernetes, Spark, Airflow, Flink, Kubeflow and GitOps (ArgoCD). He combines deep cloud expertise across AWS and GCP with hands-on governance of petabyte-scale data lakes, LGPD-aware solutions, and real-time event architectures. Comfortable across batch and streaming, he bridges Data Science and Engineering to accelerate model development, deployment and observability. An early researcher in linked open data and SPARQL, he brings a rare blend of semantic-web thinking to modern data platform problems.
9 years of coding experience
5 years of employment as a software developer
Curso livre Big Data com Spark, Curso livre Big Data com Spark at Data Bootcamp
Graduação Ciência da Computação, Graduação Ciência da Computação at Federal University of Rio de Janeiro
German, English, Portuguese