Abel Coronado is a Senior Data Engineer with 11 years of experience building distributed, real-time data platforms and cloud-native data lakes across finance, telecom and public sector clients. He designs end-to-end architectures and leads migrations from legacy silos to modern lakes using Azure, Databricks, Cloudera and streaming stacks like Kafka, Spark and Flink. His work blends hands-on development of ETL/streaming pipelines, microservices and orchestration (Control-M, Airflow) with data governance and predictive modeling to deliver production-ready analytics. Comfortable both as a technical advisor and team lead, he has driven projects that surface operational alerts for banks and optimize logistics across LATAM. Trained in computer engineering (UCM, UAM) with a specialized Big Data master鈥檚, he pairs deep systems-level knowledge with pragmatic POC-driven delivery.
11 years of coding experience
7 years of employment as a software developer
Master of Engineering - MEng Computer Engineering, Master of Engineering - MEng Computer Engineering at Universidad Aut贸noma de Madrid
Master of Engineering - Big Data Big Data, Master of Engineering - Big Data Big Data at Pragsis University
Engineer's degree Computer Engineering, Engineer's degree Computer Engineering at Universidad Complutense de Madrid
Contributions:15 pushes, 82 branches in 1 year 5 months
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