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
  • 18: From CFO to Data Engineer? Philip Boontje

    18: From CFO to Data Engineer? Philip Boontje
    Jul 10 2025
    In this episode of Data Career Transformations, Bolaji interviews Philip Boontje, a finance executive and data architect. Philip shares his unique journey from chemical engineering to finance and ultimately to data engineering. He discusses the challenges and successes he has faced in his career, including the transition from spreadsheets to data engineering, the discovery of dbt, and the importance of building a strong data architecture. The conversation also touches on the future of data with semantic layers and AI, as well as the importance of mental health and work-life balance in the fast-paced world of data engineering. Philip offers valuable advice for aspiring data professionals and emphasizes the need for creativity and interdisciplinary skills in the field. Subscribe on: Apple Podcasts | Spotify | YouTube | Amazon Music Takeaways: Philip's journey from chemical engineering to finance and data architecture showcases the importance of interdisciplinary skills.The transition from spreadsheets to data engineering is crucial for scaling businesses effectively.Discovering dbt transformed Philip's approach to data management and engineering.MaxQ Analytics focuses on providing data architecture solutions for companies that need support in data engineering.Building strong client relationships is essential for successful project management in data engineering.Data disasters often stem from unreliable source systems and the challenges of maintaining data integrity.Success in data engineering is often invisible; clients appreciate when things run smoothly without issues.The semantic layer is key to creating a single source of truth in data management.AI and analytics agents will play a significant role in the future of data engineering.Maintaining mental health and work-life balance is crucial in the fast-paced world of data engineering. Chapters: 00:00: Introduction to Data Career Transformations03:58: Philip's Unique Journey from Engineering to Finance10:33: Transitioning from Spreadsheets to Data Engineering13:07: Discovering the Power of dbt18:18: MaxQ Analytics: Bridging the Data Gap22:10: Overcoming Data Challenges and Technical Struggles23:09: The Challenges of Data Engineering24:52: Understanding the Semantic Layer26:54: The Future of Data Interaction with AI28:21: The Role of Data Engineers in an AI World31:40: Managing Stress and Burnout in Data Careers33:46: Success Stories in Data Engineering35:55: Measuring the Impact of Data Work38:17: Mentorship and Career Advice for Data Professionals40:20: Vision for the Future of Data Engineering Speakers: Guest: Philip Boontje, MaxQ Analytics Data Engineer & Guild LeadHost: 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.
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    44 m
  • 17: From Psychology to Analytics Engineering: Juan Manuel Perafan

    17: From Psychology to Analytics Engineering: Juan Manuel Perafan
    Jul 9 2025
    In this episode, Bolaji interviews Juan Manuel Perafan, a psychology major turned analytics engineer, who shares his journey from Colombia to the Netherlands and his transition into the data field. They discuss the importance of networking, the challenges of imposter syndrome, and the evolving role of analytics engineering. Juan emphasizes the value of being replaceable in a job and offers advice for aspiring data professionals, highlighting the significance of foundational skills and the need to stay adaptable in a rapidly changing industry. Subscribe on: Apple Podcasts | Spotify | YouTube | Amazon Music Takeaways: Juan transitioned from psychology to data due to market competition.Networking is crucial for career opportunities in data.Imposter syndrome is common in tech; focus on your unique value.Being replaceable can free you to explore new opportunities.Foundational skills like SQL and stakeholder management are essential.Cultural differences can impact communication in professional settings.Early adoption of new technologies can shape your career.It's important to clarify job roles to avoid confusion.Passion for data can help sustain a long-term career.Meetups can foster valuable connections and collaborations. Chapters: 00:00: Introduction to Juan Manuel Perafan02:47: Cultural Insights and Relationship Dynamics05:14: Career Transition from Psychology to Data07:50: The Journey into Data Engineering10:18: The Emergence of Analytics Engineering12:53: Networking and Community Engagement15:22: Cultural Differences in Professional Relationships21:45: Navigating Cultural Differences in Communication22:56: The Importance of Passion in Tech Careers25:09: The Evolution of dbt in Tech Stacks28:25: Understanding and Overcoming Imposter Syndrome31:53: The Balance of Being Replaceable vs. Irreplaceable34:57: The Value of Early Adoption in Technology39:55: Advice for Aspiring Data Professionals Speakers: Guest: Juan Manuel Perafan, Co-Author, Fundamentals of Analytics EngineeringHost: 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.
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    44 m
  • 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
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