How dbt Helps Our Clients Remove Data Engineering Bottlenecks

dbt is considered by many to be the “secret sauce” of the modern data stack—reshaping how organizations model, transform, and manage their data while also enabling data teams to scale faster without reliance on data engineers. In this webinar, learn what dbt can do for your data pipeline, how it can help your data team scale, plus, get insight into the problems dbt has helped our clients solve.

We discussed:

  • How dbt is different than other data transformation tools, what it can do for your data pipeline, and how it can help you scale without relying on data engineers
  • How dbt fits into the modern data stack, including other tools it works well with
  • How our clients have migrated away from their legacy solutions to dbt
  • Client experiences—common pain points dbt has helped our clients resolve

Meet our speakers below

Meet the hosts

Ryan McGibony, Partner Manager, dbt Labs

Ryan McGibony is a Partner Manager at dbt Labs and based out of Washington, D.C. He enjoys empowering organizations to solve problems with data. After years of leading consulting projects applying advanced analytics techniques, he now supports dbt Labs services partners in implementing dbt with their clients to ensure effective use of their cloud data warehouses.

Erin Barnier, Data Engineering Consultant, Analytics8

Erin is a Data Engineering Consultant based out of our Chicago office. She is one of the Analytics8's Data Engineering Practice leads with experience in dbt, Snowflake, Databricks and more. Erin is passionate about finding modern data solutions for her clients that simplifies the data transformation process. Outside of work, Erin enjoys trying new restaurants or a new recipe.

Tyler Rouze, Managing Consultant, Analytics8

Tyler Rouze is a data management consultant at Analytics8 who specializes in helping clients modernize their data management practices and tools. He is an open-source contributor to the dbt-core project, speaker, and loves learning about new technology and thinking about how to improve the analytics development workflow. He has experience across the data lifecycle having held roles as a Data Analyst, Engineer, and Architect.

Jordan Veal, Data Engineering Consultant, Analytics8

Jordan is a Data Engineering Consultant based out of Denver, CO, who focuses on data integration, transformation, and warehouse design. dbt is one of his favorite tools for developing data pipelines. When not diving into data, Jordan frequents the mountains with his wife and two kids and enjoys trail running.