Data Career Transformations Podcast Por dbt Labs arte de portada

Data Career Transformations

Data Career Transformations

De: dbt Labs
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 Data Career Transformations is the show where we watch Analytics Engineers. Data Engineers, Data Analysts & Data scientists TRANSFORM their careers. Hosted by Bolaji Oyejide, dbt Community Manager. About the dbt Community: 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. 
dbt Community - for and by data pros. * Build reliable transformation pipelines. * Test & deploy models. * Optimize queries. * Structure data for self-serve analysis. Come hang out and transform with 70,000 of the brightest Analytics Engineers, Data Engineers, Data Analysts, and Data Scientists in the world. Join the dbt Community getdbt.com/community The podcast is sponsored by dbt Labs, makers of the data transformation framework dbt. To reach our team, drop a note to podcast@dbtlabs.com© 2025 Economía Exito Profesional
Episodios
  • 15: From Biochemist to Analytics Engineering Mgr @ Hubspot: Nicholas Yager

    15: From Biochemist to Analytics Engineering Mgr @ Hubspot: Nicholas Yager
    Jul 7 2025
    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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    49 m
  • 14: From Marine Biologist to Sr Data Engineer at Shopify: Elize Papineau

    14: From Marine Biologist to Sr Data Engineer at Shopify: Elize Papineau
    Jun 4 2025
    In this episode, Bolaji interviews Elize Papineau, a senior data engineer at Shopify, who shares her unique journey from marine biology to data engineering. Elize discusses her eclectic background, the challenges of finding the right job title in data, and the importance of continuous learning. She highlights her experiences at dbt Labs and Shopify, the significance of data governance, and the value of mentorship. Elize also reflects on her proudest projects, the lessons learned from data disasters, and her aspirations for community involvement in the data field. Takeaways: Elize transitioned from marine biology to data engineering through a gradual process of learning and adaptation.Finding the right job title in data can be challenging, and understanding one's strengths is crucial.Continuous learning and practical experience are key to career growth in data.Elize emphasizes the importance of community and mentorship in the data field.Data governance and stakeholder interaction are critical in large organizations like Shopify.Elize's proudest projects are those that see high user adoption and utility.Data disasters can provide valuable lessons and insights for future work.Interview challenges often reveal the importance of problem-solving and communication skills.Elize aims to contribute to the data community and support others in their journeys.Measuring the impact of data work involves understanding user needs and ensuring timely access to data. Chapters: 00:00: Introduction to Elize Papineau02:59: Elize's Unique Background and Skills05:54: Transition from Marine Biology to Data Engineering09:02: Navigating the Data Job Market12:00: Finding Identity in Data Roles14:57: Continuous Learning and Skill Development18:02: The Importance of Practical Experience20:55: Discovering dbt and Its Impact24:00: Working at Shopify and Personal Insights24:07: Iced Tea: A Lifestyle Choice25:10: Data Challenges at Shopify27:01: Understanding Stakeholders and Their Needs29:56: Data Disasters: Learning from Mistakes34:38: Navigating Tough Interview Questions39:24: Proud Projects and Their Impact42:29: Measuring Business Impact44:55: Influences and Mentorship in Data47:38: Future Aspirations in the Data Community Speakers: Guest: Elize Papineau is a Senior Data Engineer at Shopify.Host: Bolaji Oyejide is the community manager at dbt Labs, and host of Data Career Transformations. — About the dbt Community: 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. dbt Community - for and by data pros. Build reliable transformation pipelines.Test & deploy models.Optimize queries.Structure data for self-serve analysis. Come hang out and transform with 70,000 of the brightest Analytics Engineers, Data Engineers, Data Analysts, and Data Scientists in the world 👉 Join the dbt Community Subscribe on: Apple Podcasts | Spotify | YouTube | Amazon Music
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    46 m
  • 13: From SW Intern to Chick-Fil-A Sr Lead Data Engineer: Tim Castillo

    13: From SW Intern to Chick-Fil-A Sr Lead Data Engineer: Tim Castillo
    Jun 2 2025
    In this episode of Data Career Transformations, Bolaji Oyejide interviews Tim Castillo, a senior lead data engineer at Chick-fil-A. Tim shares his journey from software engineering to data engineering, emphasizing the importance of operational efficiency and the role of data in enhancing customer experiences. He discusses the challenges of stakeholder communication, the significance of building trust, and the balance between maintenance and innovation in data projects. Tim also highlights the value of tools like dbt in streamlining data processes and shares insights on measuring the impact of data work. Throughout the conversation, Tim advocates for lifting the floor while extending the ceiling in data practices, ensuring a solid foundation for future growth. Takeaways: Tim believes in scaling organizations by lifting the floor while extending the ceiling.Data engineering plays a crucial role in enhancing operational efficiency at Chick-fil-A.Tim's career journey includes roles in software engineering and data engineering.He emphasizes the importance of asking questions to understand stakeholder needs.Tim advocates for using tools like dbt to streamline data processes.He shares lessons learned from transitioning to data engineering.Tim highlights the significance of stakeholder communication and empathy.Measuring impact in data roles can be challenging but focuses on joy and efficiency.Tim encourages early-career professionals to balance learning tools with foundational skills.He believes in the importance of building trust as a data professional. Chapters: 00:00: Introduction to Tim Castillo and Chick-fil-A03:04: The Role of Data in Location Strategy06:59: Operational Efficiency and Intentionality at Chick-fil-A09:02: Tim's Career Journey: From Software Engineer to Data Engineer11:55: The Importance of Side Projects and Learning15:00: The Evolution of Tim's Role in Data18:02: Understanding Data Engineering vs. Data Science20:57: Raising the Floor While Extending the Ceiling25:03: Raising the Ceiling and Floor in Data Work29:15: Team Structure and Scaling Challenges30:59: The Role of dbt in Data Engineering33:33: Learning from Data Disasters36:49: Effective Stakeholder Communication43:04: Measuring Success in Data Roles47:34: Advice for Early-Career Data Professionals Speakers: Guest: Tim Castillo, Senior Lead Data Engineer at Chick-Fil-AHost: Bolaji Oyejide, Community Manager at dbt Labs — About the dbt Community: 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. dbt Community - for and by data pros. Build reliable transformation pipelines.Test & deploy models.Optimize queries.Structure data for self-serve analysis. Come hang out and transform with 70,000 of the brightest Analytics Engineers, Data Engineers, Data Analysts, and Data Scientists in the world Join the dbt Community
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    41 m
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