Data and Cloud Architect for projects involving distributed computing and data analysis.Author, trainer, public speaker (incl. keynotes) on topics ranging from Big Data to AI technologies and methodologies.Initiated the Spark Notebook Open Source project (https://github.com/spark-notebook/spark-notebook) to help the emerging community of big data and ML engineers work with data and AI at scale.Managing a community of over 20,000 enthusiasts around the world.

This a sequel to the series of books, articles, and talks I have given since 2013.10 years dedicated to elaborating the theory and best practices behind this concept of Data Observability, which I had the opportunity to validate on many projects in Data Management, Big Data, and more recently AI.This book aims at setting up the ground for data observability, what it is (principles and best practices), why data teams must embrace it (the values), and how to get started (including ready-to-use or bake recipes for main technologies at play today).I am delivering chapters on an ongoing basis in "early release" format on: https://kensu.io.Also you can join our Slack Data Observability Community here: https://join.slack.com/t/data-obs-at-the-src/shared_invite/zt-1g1deyqr4-1x_ZQJ~EpdEpWOzJl5_b8g.Thanks to the great Garry O'Brien for his support and the gang of reviewers (Adi, Emily, Joe, Matt, Scott, and more)

Report introducing the concepts of Data Governance for organizations.Full report: https://learning.oreilly.com/library/view/what-is-data/9781492090328/

Reviewing talk and keynote proposals for the Strata conferences in New-York, San Francisco and London on subjects like Apache Spark, Graph Analysis, Geospatial Analysis, and Genomics Analysis

Helped the IoT startup architecting and implementing the foundation of a near-real-time platform providing AI-based insights on billion connected devices.Based on technologies such as Spark, Mesos, MLLib, H2O, Cassandra, Scala, Python