Emanuele De Sanctis is an analytics engineer with nine years of experience turning large, messy datasets into clear marketing insights, currently driving analytics at Wallapop from Barcelona. He combines strong SQL and Python automation skills with LookML and dashboarding experience to inform decisions across product and operations, having processed datasets at Glovo at the scale of ~10M orders/month. Comfortable explaining technical concepts to non-technical stakeholders and speaking publicly, he has a background in teaching data analytics and improving curricula, which sharpens his ability to simplify complexity. His unconventional path—from a biology degree through film sound work to Cloudera and data bootcamps—gives him a multidisciplinary perspective that informs creative problem solving in data projects.
9 years of coding experience
3 years of employment as a software developer
Introduction to Python programming for Data Science, Computer Programming, Introduction to Python programming for Data Science, Computer Programming at KSchool
Sound for Film, Film/Cinema/Video Studies, Sound for Film, Film/Cinema/Video Studies at The Collective FilmmakerHub
Cloudera Developer Training for Spark and Hadoop, Cloudera Developer Training for Spark and Hadoop at Formación TIC Oficial - PUE
Data Analytics, Data Analytics at Ironhack
Bachelor's degree, Biology, General, Bachelor's degree, Biology, General at University of Rome Tor Vergata
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Emanuele De Sanctis - Analytics Engineer - Marketing at Wallapop