Dive into Data Waves with Apache Iceberg Office Hours

Alex Merced

Alex Merced is Head of DevRel for Dremio, a developer, and a seasoned instructor with a rich professional background. Having worked with companies like GenEd Systems, Crossfield Digital, CampusGuard, and General Assembly.

Alex is a co-author of the O’Reilly Book “Apache Iceberg: The Definitive Guide.”  With a deep understanding of the subject matter, Alex has shared his insights as a speaker at events including Data Day Texas, OSA Con, P99Conf and Data Council.

Driven by a profound passion for technology, Alex has been instrumental in disseminating his knowledge through various platforms. His tech content can be found in blogs, videos, and his podcasts, Datanation and Web Dev 101.

Moreover, Alex Merced has made contributions to the JavaScript and Python communities by developing a range of libraries. Notable examples include SencilloDB, CoquitoJS, and dremio-simple-query, among others.

Jason Hughes

Jason Hughes is the Director of Technical Advocacy at Dremio. Previously at Dremio, he’s been a Product Director, Technical Director and a Senior Solutions Architect. He’s been working in technology and data for over a decade, including roles as tech lead for the field at Dremio, the pre-sales and post-sales lead for Presto and QueryGrid for the Americas at Teradata, and leading the development, deployment, and management of a custom CRM system for multiple auto dealerships. He is passionate about making customers and individuals successful and self-sufficient. When he’s not working, he’s usually taking his dog to the dog park, playing hockey, or cooking (when he feels like it). He lives in San Diego, California.

Dipankar Mazumdar

Dipankar is currently a Developer Advocate at Dremio where his primary focus is advocating data practitioners such as engineers, architects & scientists on Dremio’s lakehouse platform & various open-sourced projects such as Apache Iceberg, Arrow, etc. that helps data teams apply & scale analytics. In his past roles, he worked at the intersection of Machine Learning & Data visualization. Dipankar holds a Masters in Computer Science and his research area is Explainable AI.