Alberto Gutiérrez is a Lead Data Engineer and MLOps Engineer based in Madrid with eight years of experience building cloud-native data platforms and production ML lifecycle solutions. He specializes in lakehouse and medallion architectures, having led end-to-end MLOps modernization in Microsoft Fabric and large-scale Snowflake migrations for energy, insurance and retail clients. Alberto pairs hands-on pipeline engineering—Python, Spark, SQL, Azure Data Factory/DevOps—with automation of CI/CD, MLflow and monitoring to improve data quality, reduce downtime and accelerate analytics. He has a strong operational focus demonstrated by multi-terabyte migrations, automated monitoring systems and measurable business impact (e.g., cutting reporting times from days to hours). Currently a PhD student in Computer Engineering at Complutense University of Madrid, he blends research-driven thinking with practical delivery and technical leadership. Colleagues value his ability to translate complex data governance and security requirements into robust, repeatable engineering standards.
8 years of coding experience
3 years of employment as a software developer
Master Data Science & Big Data, data, Master Data Science & Big Data, data at Universidad Complutense de Madrid
Bachelor’s Degree in Industrial Electronics Engineering, Bachelor’s Degree in Industrial Electronics Engineering at Universidad de Jaén
Exchange Program – Bachelor’s in Electrical and Electronic Engineering, Exchange Program – Bachelor’s in Electrical and Electronic Engineering at Universidad Adolfo Ibáñez
ERASMUS+ KA103 – Bachelor’s in Electrical, Electronic & Communications Eng, ERASMUS+ KA103 – Bachelor’s in Electrical, Electronic & Communications Eng at Universitatea din Oradea
Contributions:1 push, 2 branches in 1 year 10 months
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Alberto Gutiérrez - Lead Data Engineer & MLOps Engineer