Table of Contents

  1. Data transformation
  2. Data testing
  3. Implementations + deployment
  4. Documentation + metadata
  5. The modern data stack
  6. Data dream teams

Data dream teams: Netlify

Emilie has spent her career scaling Data & Analytics functions, while being responsive to the hypergrowth of the business. Today, she leverages her data skills as the Senior Engineering Manager, Data and Business Intelligence at Netlify. She is a contributor to many open source projects including dbt, Meltano, and GitLab. When not at her day job, Emilie can be found in her local CrossFit box or volunteering with Operation Code, codebar, TechSAV, or MilSpouse Coders.

Francisco is a software engineer interested in data and analytics. As a dbt contributor, Python and SQL languages are well inside Francisco's comfort zone. Currently, Francsico works as a Senior Analytics Engineer at Netlify, where he uses his engineering background to help and enable users to drive their decisions based on data. Outside of work, Fracisco loves to read about many different topics such as science, philosophy, history, or finance.

Brian is a Senior Data Engineer at Netlify. Software engineer turned data engineer, he fell into Big Data as an accident in 2014 and hasn't looked back since. He spent his data engineer early years traveling as a Big Data Consultant helping all sorts of companies adopt various data warehouses and data lakes in the cloud. Brian is passionate about all things data, distributed computing, automation, and using technology to change the world for the better.

Originally presented on 2020-12-12

Join us for a fireside chat with members of the Netlify data team to get an inside look at how their team gets work done. We'll learn how their data team is structured, some projects they've recently worked on, and what's coming up for the team!

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