エピソード

  • 13: From SW Engineering Intern to Chick-Fil-A Sr Lead Data Engineer: Tim Castillo

    13: From SW Engineering Intern to Chick-Fil-A Sr Lead Data Engineer: Tim Castillo
    2025/06/02
    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 分
  • 12: From Customer Support to RevOps Analytics @ 1Password: Nate Sooter

    12: From Customer Support to RevOps Analytics @ 1Password: Nate Sooter
    2025/05/22
    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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    41 分
  • 11: From Soul-Sucking Telecom Presales, to Data Engineering Mgr: Jessica Franks

    11: From Soul-Sucking Telecom Presales, to Data Engineering Mgr: Jessica Franks
    2025/05/14
    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 分
  • 10: From Sys Admin Skateboards to Effective Data Products, with Ash Smith

    10: From Sys Admin Skateboards to Effective Data Products, with Ash Smith
    2025/05/14
    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 分
  • 9: From Actuary to Analytics Engr Mgr @ Hubspot. Kasey Mazza

    9: From Actuary to Analytics Engr Mgr @ Hubspot. Kasey Mazza
    2025/05/09
    In this episode of Data Career Transformations, Bolaji interviews Kasey Mazza, an analytics engineering manager at HubSpot. Kasey shares her journey from actuarial science to analytics engineering, emphasizing the importance of merging technical skills with emotional intelligence. She discusses her approach to career growth modeled after the software development life cycle, her day-to-day responsibilities, and the significance of building teams like a community. Kasey also highlights the challenges of data management, the importance of fostering a learning culture, and how to measure the impact of data roles. Throughout the conversation, she offers valuable insights and advice for aspiring data professionals. --- Speakers: Guest: Kasey Mazza is the Director of Analytics Engineering at HubspotHost: Bolaji Oyejide is the community manager at dbt Labs, and host of Data Career Transformations. --- About the dbt Community: Building in Public: The Best Way to Learn Data. 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. Takeaways: Kasey transitioned from actuarial science to analytics engineering.She emphasizes the importance of emotional intelligence in data roles.Career growth can be modeled after the software development life cycle.Building teams like a community fosters collaboration and innovation.Kasey advocates for a learning culture within data teams.Measuring impact in data roles can be challenging but is essential.Cross-functional collaboration is key to successful projects.Kasey encourages following curiosity and passion in career paths.She believes in collecting skills rather than just chasing titles.Kasey reads extensively, averaging 110 books a year. Chapters: 00:00: Introduction to Kasey Mazza and Her Journey02:54: Kasey's Data Origin Story06:25: Applying the Software Development Life Cycle to Career Growth09:41: The Role of an Analytics Engineering Manager10:54: Building Data Teams Like a Community12:36: Team Structure and Roles14:59: Tech Stack and Tools Used16:16: Data Challenges and Communication Gaps19:29: Shaping Team Culture and Shared Language20:19: Cultivating a Learning Culture21:19: Investing in Personal Development23:27: Beyond Titles: Collecting Skills24:43: The Power of Reading26:47: Building a Customer Score29:43: Measuring Impact in Data32:51: Defining Professional Success34:08: The Influence of Mentorship35:26: Looking Ahead: Future Aspirations38:22: Advice for Aspiring Data Professionals
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    41 分
  • 8: From Law School to Nigeria's FinTech Data Chef? Damola Onabanjo

    8: From Law School to Nigeria's FinTech Data Chef? Damola Onabanjo
    2025/05/07
    In this episode of Data Career Transformations, Bolaji interviews Damola Onabanjo, a business intelligence manager at Kuda, who shares her unique journey from an international law graduate to a data professional. The conversation covers her love for cooking shows, her role at Kuda, the transition from law to data, the importance of mentorship, and the challenges faced in the data industry. Damola emphasizes the significance of passion, collaboration, and knowledge sharing in building a successful data career. Takeaways: Damola transitioned from law to data analytics after realizing her passion for problem-solving.Kuda aims to bring banking to the doorstep of every Nigerian, offering various financial products.The importance of mentorship in navigating a data career is crucial for growth.Damola emphasizes the need for passion to sustain interest in data work. She discovered dbt as a tool that transformed her data workflow.Handling data disasters requires effective communication and negotiation with stakeholders.Building a collaborative team culture is essential for knowledge sharing and growth.Damola encourages aspiring data professionals to seek mentorship and guidance.She believes in under-promising and over-delivering to manage stakeholder expectations.Damola finds joy in mentoring others and helping them grow in their data careers. Chapters: 00:00: Introduction to Damola Onabanjo02:20: The Journey to Business Intelligence04:10: Understanding Kuda and Its Impact05:26: Transitioning from Law to Data07:12: Building a Career in Data Analytics08:46: Navigating the Data Landscape11:14: The Role of Personality in Data Careers13:52: Exploring Data Roles and Responsibilities15:55: Discovering dbt and Its Benefits17:06: Discovering dbt and Building Skills18:22: Navigating Data Disasters21:40: Managing Stakeholder Expectations23:49: The Art of Delegation24:46: Fostering Team Collaboration27:04: Building a Knowledge-Sharing Culture29:36: Mentorship and Personal Growth32:24: Advice for Aspiring Data Professionals Speakers: Guest: Adedamola Onabanjo is the Business Intelligence Manager at Kuda 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
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    36 分
  • 7: From Clown School to Director of Analytics: Wade Wachs

    7: From Clown School to Director of Analytics: Wade Wachs
    2025/04/30
    In this episode of The Data Career Transformations Show, Bolaji interviews Wade Wachs, the Director of Information and Analytics at Liquid Web. Wade shares his unique journey from juggling and clown school to building a data-driven culture in a web hosting company. The conversation explores the evolution of data roles, the challenges of self-service data, and the importance of mentorship in the data field. Wade emphasizes the need for data professionals to understand the business context behind their work and to be proactive in shaping data requests rather than just fulfilling them. The episode concludes with insights on celebrating data successes and the value of strong mentorship in career development. Takeaways: Wade's unique background in juggling and clown school adds a fun twist to his data career.The evolution of Liquid Web's data culture reflects the importance of data-driven decision-making.Understanding the web hosting industry is crucial for effective data analytics.Transitioning into data roles can be a journey filled with learning and adaptation.The role of a Director of Information and Analytics involves diverse responsibilities and challenges.Building a data team requires careful consideration of roles and dynamics.Self-service data can be both empowering and challenging for organizations.Data ownership is essential for driving business outcomes.dbt plays a significant role in modern data transformation processes.Data disasters often stem from miscommunication and technical issues, highlighting the need for clear processes. Sound Bites: "Those who know will always work for those who know why.""Be so good they can't ignore you.""Don't be an order taker, be an order shaper.""I fell in love with SQL.""Self-serve is a myth.""A bad join can cost millions." Chapters: 00:00:Introduction to Data Careers and Juggling02:42: Wade's Journey into Data and Web Hosting04:47: Transitioning to a Data-Driven Culture06:57: The Evolution of Data in Web Hosting09:11: Wade's Data Career and Love for SQL11:47: Role of an Analytics Engineer13:53: Day-to-Day Responsibilities of a Data Director16:18: Team Structure and Data Engineering Challenges18:33: Self-Service Data and Executive Needs21:06: The Role of dbt in Data Transformation22:19: The Evolution of Data Engineering23:27: Navigating Data Disasters27:06: The Importance of Domain Knowledge28:53: Learning from Mistakes31:17: Handling Stress and Expectations35:33: Mentoring the Next Generation40:23: Proud Moments in Data Projects 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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    46 分
  • 6: From Pastry Chef to Head of Data at dbt Labs? Erica Louie.

    6: From Pastry Chef to Head of Data at dbt Labs? Erica Louie.
    2025/04/23
    In this engaging conversation, Erica Louie shares her unique journey from aspiring pastry chef to Head of Data at dbt Labs, with host Bolaji Oyejidehighlighting the importance of empathy and communication in the data field. Erica discusses the skills and milestones that helped him climb the career ladder, the challenges of hiring for data roles, and the often thankless nature of data work. Erica also opens up about a personal failure that taught her valuable lessons and reflects on the overwhelming nature of leadership, ultimately finding joy in managing her team. B olaji & Erica further delve into various themes surrounding self-awareness in career growth, the measurement of data team value, the benefits of Cloud CLI, the importance of the semantic layer, challenges in data governance, strategies for building a data team from scratch, and the balance between service-oriented and strategic projects. The discussion emphasizes the need for self-reflection, effective communication within teams, and the integration of data practices into business strategies. Takeaways: Being different can lead to unique career paths.Analytical skills can be built over time.Empathy is crucial in data roles.Communication is key in data work.Hiring should balance hard and soft skills.Data work can often feel thankless.Learning from failures is essential for growth.Leadership can be overwhelming but rewarding.It's important to prioritize team culture.Finding joy in work is vital for success. Self-awareness is crucial for career growth.Regular self-check-ins can prevent burnout.Measuring data team value can be linked to company initiatives.Cloud CLI simplifies version management and enhances productivity.The semantic layer promotes best practices in data reporting.Data governance is an evolving challenge for organizations.Building a data team requires understanding executive needs.A phased approach to data projects is recommended for new teams.Balancing service requests with strategic initiatives is essential.Effective communication with stakeholders is key to data team success. 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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    37 分