
Santiago is a Data Engineer with hands-on experience building scalable, cloud-based data solutions. He is passionate about helping organizations unlock the value of their data by designing efficient ETL and ELT pipelines and modern data architectures. He’s experienced using tools like Databricks, AWS, and Snowflake.
Prior to joining Aimpoint Digital, Santiago developed end-to-end data pipelines and modern cloud solutions for leading organizations in healthcare, financial services, and telecommunications. His experience includes implementing automated data workflows, developing semantic data models and data marts, and leveraging technologies such as Databricks and Azure to modernize analytics platforms and support data-driven decision-making.
Outside of work, Santiago enjoys learning new languages, cooking, and binge-watching old TV shows from his childhood .
BS, Computer Science and AI Engineering, Universidad Sergio Arboleda