Bolaji interviews Bruno Souza de Lima, an analytics engineer with a unique background in autonomous driving and programming. Bruno shares his journey from studying mechanical engineering to becoming a key contributor in the analytics community, emphasizing the importance of sharing knowledge, effective communication, and mentorship. He discusses his experiences with debugging data pipelines, the significance of community involvement, and his aspirations for future leadership roles. The conversation highlights the value of collaboration and continuous learning in the data field. As of the time of this recording, Bruno is the Lead Data Engineer at phData. Follow Bruno on LinkedIn.   Host: Bolaji Oyejide is the community manager at dbt Labs, and host of Data Career Transformations. Takeaways: Bruno's diverse background led him to analytics engineering. Understanding the difference between the internet and the web is crucial. Sharing knowledge can help others and build connections. You don't need to be an expert to contribute to the community. Effective communication with stakeholders is essential for success. Debugging involves breaking down complex problems into manageable parts. Having a mentor can significantly accelerate career growth. Introverts can create content without showing their face. Community involvement can lead to recognition and opportunities. Continuous learning and adaptation are key in the evolving data landscape. Timestamps: 00:00: Bruno's Journey into Autonomous Driving 04:25: Understanding the Web of Things 06:37: Transitioning to Analytics Engineering 08:31: Bruno's Career Development and Community Engagement 12:37: Communicating Technical Insights to Non-Technical Stakeholders 16:20: Overcoming Introversion in Content Creation 20:38: Debugging Strategies for Data Professionals 24:27: The Importance of Mentorship 32:53: Future Aspirations in Data Analytics   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.    

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