Principles for Unlocking the Full Potential of your Data

In this day and age, more than ever, we are constantly surrounded by data, but learning how to best extract actionable insights is a difficult task to accomplish. Data engineers are asked to serve many of an organization’s data needs, but they are usually underfunded and overwhelmed with the choices in front of them.

This talk is geared towards teams that are looking to jumpstart or improve their data efforts with a set of principles and best practices that can help guide their decisions. The speaker, Jaime Villalpando Luken, is basing the talk on his experiences working at big tech companies with big data problems at the PB scale, as well as the grassroots efforts to transform an organization’s culture into a truly data-driven one. Jaime’s goal is to help organizations of all sizes take concrete steps that will better prepare them to extract meaningful data insights in a repeatable way.

April 11

Course Dates

Guadalajara, MX


3 Hours

Course Length

60 Spots

Onsite limited




 Jaime Villalpando Luken

Jaime Villalpando Luken

Health Software Engineer at Apple

Jaime got his Master’s degree in Information and Data Science at the UC Berkeley School of Information. He got his Bachelor’s Degree in Computer Science at Tecnológico de Monterrey.
Jaime worked for Microsoft for 8 years in various roles, but primarily as a senior data engineer for the SharePoint and OneDrive Data Team. He was the technical lead responsible for processing and modeling over 50 PB of data generated by the SharePoint Online and OneDrive services, and making it available to thousands of users within the company.
He now works in the Health division at Apple, directly involved in projects such as the Apple Heart Study, an innovative research study for early detection of irregular heart rhythm through the Apple Watch. Jaime is passionate about converting data to insights and operates at the intersection of data engineering and data science.


7:00-7:30 PM

Registration & Beer

7:30-8:30 PM


8:30-9:15 PM

Networking + Pizza & Beer

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