Summary
Jorge Luna is a CTO and data-platform architect based in Mexico City with eight years of experience turning pharmaceutical market data into actionable decisions. He leads Ideal Data Mexico, building BI, ML and data-science solutions tailored to the pharma industry and has a track record of delivering high-impact automation projects that cut development time and headcount while boosting revenue. His background spans enterprise BI, ETL, data vault modeling, SSAS/SSIS and modern big-data tooling, with early wins automating classification and outlier detection that reduced manual work by over 60%. Jorge combines hands-on engineering (from PHP and C# to Power BI) with strategic leadership and teaching—he’s created Power BI courses and trained teams on Talend and ETL best practices. He holds an MSc in Computer Science with distinction from Queen Mary University of London and has repeatedly accelerated delivery timelines and customer adoption in regulated, data-sensitive environments. Notably, he frames technical decisions around commercial impact, turning complex data challenges into measurable business outcomes.
8 years of coding experience
3 years of employment as a software developer
Programa de desarrollo directivo en Data Science & Big Data, Computer Science, Programa de desarrollo directivo en Data Science & Big Data, Computer Science at Bolsa Mexicana de Valores
Universidad Nacional Autónoma de México (UNAM)
Master of Science (MSc), Computer Science, Distinction, Master of Science (MSc), Computer Science, Distinction at Queen Mary University of London
Big Data Engineering, Computer Science, Big Data Engineering, Computer Science at Desafío Latam
Exchange student, Informatics, IT., Exchange student, Informatics, IT. at University of Erlangen-Nuremberg
Spanish, English, German, French