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
  • 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
  • 12: From Customer Support to RevOps Analytics @ 1Password: Nate Sooter

    12: From Customer Support to RevOps Analytics @ 1Password: Nate Sooter
    May 22 2025
    In this episode of the Data Career Transformations Show, Bolaji interviews Nate Sooter, a data professional who shares his unique journey from customer support to becoming a manager of Revenue Operations and Analytics at 1Password. Nate discusses the diverse paths into analytics careers, the importance of domain knowledge, and the challenges of navigating the 'great filter' in data jobs. He emphasizes the significance of networking, building relationships, and understanding the business context to succeed in data roles. Nate also reflects on his experiences at Smartsheet, the evolution of the tech stack, and the lessons learned from data disasters. He concludes with advice for aspiring data professionals and shares his future aspirations in leadership. Chapters: 00:00: Introduction to Data Career Transformation02:32: The Wandering Path to Analytics06:32: The Great Filter in Data Careers12:39: Non-Traditional Steps to Break Through18:58: Taking a Chance on Analytics20:56: Preparation Meets Opportunity23:16: Navigating Career Paths in Data27:57: The Evolution of Data Teams30:41: Tech Stack Transformation at Smartsheet32:58: Community and Networking in Data36:48: Learning from Data Disasters38:56: Building Trust Through Accountability41:42: Lessons in Data Integrity44:58: Proud Moments in Data Solutions47:09: Measuring Impact in Data Teams54:53: Advice for Aspiring Data Professionals Takeaways: There's no single clear path into an analytics career.Networking is crucial for career growth in data.Understanding the business context is key for data professionals.Building domain knowledge can differentiate you in analytics roles.Entry-level professionals should seek to be strategic partners, not just ticket takers.Data teams must focus on providing value to stakeholders.Trust is the currency of a successful data team.Mistakes in data can lead to loss of trust; it's important to have checks in place.Creating solutions that are used by many is a significant achievement.Continuous learning and adaptation are essential in the data field. Speakers: Guest: Add LinkedIn links for the guestHost: 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
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    58 m
  • 11: From Soul-Sucking Telecom Presales, to Data Engineering Mgr: Jessica Franks

    11: From Soul-Sucking Telecom Presales, to Data Engineering Mgr: Jessica Franks
    May 14 2025
    In this episode, Bolaji interviews Jessica Franks, a data engineering manager at Not On The High Street, who shares her unique journey from telecom engineering to data leadership. Jessica discusses her transition to the UK, the challenges of managing a data team, and the importance of communication and mentorship in the data field. Jessica also explains the significance of data strategy, the use of Wardley mapping, and how she measures the impact of her work. Jessica emphasizes the need for continuous learning and adapting in the evolving data landscape, and her aspirations for the future in data leadership. Speakers: Guest: Jessica Franks is the Data Engineering Manager at Not On the High Street, an eCommerce company based in the United KingdomHost: Bolaji Oyejide is the community manager at dbt Labs, and host of Data Career Transformations. Takeaways: Jessica's journey from telecom to data leadership is unique and inspiring.Taking time off to study data science can lead to career transformation.Communication skills are crucial for data professionals.Wardley mapping is a valuable tool for visualizing data strategy.The modern data stack includes tools like Snowflake and dbt.Measuring impact in data work can be challenging but rewarding.Mentorship and community support are vital in the data field.Learning to say no is important for managing workload.Data maturity assessments can guide strategic decisions.Continuous learning is essential in the evolving data landscape. Chapters: 00:00: Introduction to Jessica's Journey02:33: From Telecom to Data Leadership05:11: The Transition to Data Science08:02: Navigating Career Changes10:41: First Day at Not On The High Street13:20: Building a Data Team16:04: Creating a Data Strategy18:40: The Importance of Communication in Data21:20: Implementing Wardley Mapping24:01: Modern Data Stack at Not On The High Street25:49: The Value of dbt in Data Engineering28:42: Change Management in Data Teams32:00: Understanding Data Maturity34:37: The Importance of Community and Mentorship36:32: Asking Questions and Overcoming Hesitation38:19: Handling Stress and Conflicting Priorities40:58: Learning to Say No42:51: Balancing Maintenance and Innovation45:24: Measuring Impact in Data Roles47:54: Future Aspirations in Data Leadership — 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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    50 m
  • 10: From Sys Admin Skateboards to Effective Data Products, with Ash Smith

    10: From Sys Admin Skateboards to Effective Data Products, with Ash Smith
    May 14 2025
    In this episode of Data Career Transformations, Bolaji interviews Ash Smith, a seasoned data professional with a diverse background in various industries including education, health, online gaming, and mining. Ash shares his journey into the data field, the evolution of data roles, and the importance of data products. He discusses the challenges faced by data teams, the significance of networking, and how to measure the impact of data work. Ash emphasizes the need for curiosity, collaboration, and effective data storytelling in the data profession, while also providing valuable advice for aspiring data professionals. Speakers: Guest: Ash Smith is the Manager of Data Platform at South32, a Mining company in Perth, AustraliaHost: Bolaji Oyejide is the community manager at dbt Labs, and host of Data Career Transformations. --- Takeaways: Ash Smith has a diverse background in data across multiple industries.Data products are essential for delivering value to businesses.Networking is crucial for career growth in the data field.Curiosity and asking questions are key traits for data professionals.Data storytelling is a vital skill for communicating insights.The data industry needs a consistent framework for success.Building effective data teams requires collaboration and governance.Measuring the impact of data work can be complex and subjective.Data professionals should focus on foundational skills and continuous learning.Engaging with the community through meetups and conferences is beneficial. Sound Bites: "Data products can change the way we work.""Always be curious and ask questions.""Data storytelling is a crucial skill." Chapters: 00:00: Introduction to Ash Smith and His Journey04:01: Ash's Current Role in Mining Data07:27: Career Path and Transition to Data10:29: Breaking into Online Gaming and Data Roles12:33: Early Interests in Data and Patterns16:08: Understanding Data Products17:45: Evolving Data Practices and Challenges19:30: Day-to-Day in Data Management22:03: Navigating Data Disasters23:45: Handling Stress and Burnout26:58: The Challenge of Ad Hoc Requests30:02: Celebrating Project Successes33:30: Influences and Mentorship in Career36:52: Building Relationships for Career Growth39:41: Measuring Impact in Data Work42:35: Technology's Role in Data Management44:21: Advice for Aspiring Data Professionals — 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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    47 m