Summary
Marco Herrero is a Senior Data Engineer with 25 years of software experience, specializing in data platforms, MLOps, and cloud-native architectures from Seville, Spain. He designs and builds production-grade ELT warehouses, event-sourced pipelines, and MLOps stacks—recently implementing BigQuery+dbt, MLflow+VertexAI, Dagster on Kubernetes, and Kafka Streams for a greenfield data platform. Comfortable across Python, Clojure, SQL and Terraform, he focuses on operational reliability (asset-oriented orchestration, data-quality tests, column-level RBAC) and enabling data self-service. His background spans real-time serverless pipelines, recommender systems, and autonomous trading bots, reflecting a blend of ML research and pragmatic engineering. Colleagues rely on him to turn complex event data into governed, deployable models and scalable analytics.
25 years of coding experience
15 years of employment as a software developer
University of Seville
Spanish, English