Summary
Omar Granados is a data engineer with eight years of hands-on experience building scalable data warehouses, lakes, and ML-enabled pipelines across AWS, GCP, Azure, Snowflake, Databricks and DBT. He has led end-to-end data stack ownership in fintech and advertising/LLM domains, operating on datasets from 100TB to multiple petabytes and delivering production-grade forecasting and NLP services. A Carnegie Mellon MIS graduate with strong foundations in deep learning and economics, Omar combines rigorous academic training with practical engineering—having implemented CI/CD, Great Expectations quality checks, serverless architectures, and executive dashboards. He’s shipped real-time and batch systems for Fortune 500 customers and contributed to internal LLM-driven document-processing tools, showing a knack for applying cutting-edge models to production workflows. Outside of work he composes music in a band and brings a founder’s ambition, aiming to translate his cross-disciplinary expertise into entrepreneurial impact.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree Economics and International Finance, Bachelor's degree Economics and International Finance at Universidad de La Sabana
Master of Information Systems Management - Business Intelligence & Data Analytics Computer Software Engineering, Master of Information Systems Management - Business Intelligence & Data Analytics Computer Software Engineering at Carnegie Mellon University
English, French, Spanish