Summary
Eduardo Ochoa is a DataOps Engineer based in Amsterdam with 11 years of experience turning messy data into production-grade data products that drive operational decisions. He builds cloud-native data infrastructure—Kubernetes clusters, Apache Pulsar pipelines, Prometheus/Grafana monitoring—and persists results in OpenSearch, MongoDB and S3, bridging the gap between engineering and business. His background spans hands-on ETL, scalable model deployment and model performance monitoring, plus leadership roles where he defined product scope and coordinated multidisciplinary teams. Eduardo’s roots in physics and a master’s in electrical engineering give him a strong instrumentation mindset, which he applies to observability and reproducibility in data systems. He’s comfortable as both a technical implementer and a product-oriented communicator, often uncovering nonobvious opportunities hidden in client data. That blend of academic rigor and production experience makes him effective at shipping reliable, measurable data solutions.
11 years of coding experience
7 years of employment as a software developer
Universidad Nacional Autónoma de México (UNAM)
Spanish, English