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The Analytics Engineering Podcast

The Data Generalist's Vision Quest (LIVE w/ Stephen Bailey)

Dec 2, 2022
Stephen Bailey, data engineer at Whatnot and writer of an incredibly entertaining data substack, discusses the challenges of being a generalist in the data field. They explore the supportive dbt community and the importance of collaboration. They also discuss gaining unique perspectives, finding creative expression, and their hopes for the future of the data community.
26:37

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Being an effective generalist in analytics engineering is crucial for connecting different parts of the business and bridging the gap between analysts and machine learning engineers.
  • The role of data engineers has evolved from specialized big data engineers to life cycle data engineers who focus on ensuring reliable and trustworthy data flows to meet the distinct requirements of different stakeholders across the organization.

Deep dives

The Value of Being a Generalist in Analytics Engineering

In this podcast episode, Stephen Bailey, a data engineer at Whatnot, discusses the importance of being an effective generalist in the field of analytics engineering. He emphasizes the need to be a Swiss Army Knife for organizations, possessing a wide range of skills and the ability to adapt to various roles and responsibilities. Bailey highlights the value of generalists who can connect different parts of the business, understand diverse stakeholder requirements, and effectively bridge the gap between analysts and machine learning engineers. He believes that generalists bring a unique perspective and are crucial in driving the organization's adaptability and speed of operation.

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