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Alejandro is experienced designing and developing comprehensive data models and architectures for complex systems that align with business goals and support advanced analytics, reporting, and business intelligence.
He has architected end-to-end data solutions using Google Cloud Platform (GCP) services—including BigQuery, Data Fusion, and Dataflow—ensuring efficient, scalable, and secure data pipelines. Alejandro is also skilled in implementing data governance frameworks, such as Master Data Management (MDM) and data lineage tracking, to enhance data quality, security, and regulatory compliance.
In addition, he is experienced in translating business requirements into technical specifications and providing architectural guidance to development teams.
MS, Engineering, National University of Colombia