15: From Biochemist to Analytics Engineering Mgr @ Hubspot: Nicholas Yager Podcast Por arte de portada

15: From Biochemist to Analytics Engineering Mgr @ Hubspot: Nicholas Yager

15: From Biochemist to Analytics Engineering Mgr @ Hubspot: Nicholas Yager

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 In this episode of Data Career Transformations, Bolaji speaks with Nicholas Yager, the Analytics Engineering Manager of Enterprise Data Platform, at HubSpot. They discuss Nicholas's journey from biochemistry to data engineering, his experiences at dbt Labs, and the importance of creative collaboration in data. Nicholas shares insights on navigating career paths, the challenges of scaling data engineering, and the role of dbt in solving data problems. Nicholas emphasizes the myth of the objective in career development and the importance of negotiation in meeting deadlines. The conversation concludes with Nicholas's aspirations for the future in building tools that enhance the data engineering experience. Takeaways: Nicholas Yager emphasizes the importance of creative collaboration in data engineering.He believes that most deadlines are lies and should be viewed as negotiations.Nicholas's journey from biochemistry to data engineering showcases the diverse paths into the field.He highlights the significance of dbt in managing data solutions effectively.The conversation touches on the challenges of scaling data engineering in large organizations.Nicholas advocates for a growth mindset and the value of professional curiosity.He shares insights on the importance of intrinsic motivation in team dynamics.Nicholas's experiences illustrate the need for adaptability in career paths within data.He expresses a desire to build tools that make data engineering delightful.The discussion emphasizes the iterative nature of data work and the need for continuous improvement. Speakers: Guest: Nicholas Yager, Analytics Engineering Manager, Enterprise Data Platform, HubspotHost: Bolaji Oyejide, Community Manager at dbt Labs We’re Building the Future of Data. Together. We’ve always believed the best way to get better at data is by sharing what you’re learning. That’s why we built the dbt Community—a place where data pros at every level can ask questions, debate ideas, and push each other forward. It’s not just about solving today’s problems—it’s about building what’s next, together. Crowdsource solutions—70,000+ people who’ve been there, done that.Find your crew—meet others who use the same tools you do.Stay at the cutting edge—discussions, meetups, and game shows keep things fresh. 👉 Jump in and say hi—[join the dbt Community now.] Chapters: 00:00: Introduction to Data Career Transformations02:00: Journey to dbt Labs and HubSpot04:39: From Biochemistry to Data Engineering09:26: The Myth of the Objective11:46: Creative Collaboration in Data14:14: Understanding Roles in Data17:54: Team Structure at HubSpot20:15: Challenges of Scaling Data Projects22:50: The Gardener's Approach to Data Management24:06: Building Data Habits Early26:08: Tech Stack Insights29:26: The Journey with DBT30:05: Data Disaster Stories34:53: Handling Stress in Data37:28: Negotiating Deadlines41:36: Empowering Team Ownership44:22: Future Aspirations in Data
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