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.

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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 Perafan
• 02:47: Cultural Insights and Relationship Dynamics
• 05:14: Career Transition from Psychology to Data
• 07:50: The Journey into Data Engineering
• 10:18: The Emergence of Analytics Engineering
• 12:53: Networking and Community Engagement
• 15:22: Cultural Differences in Professional Relationships
• 21:45: Navigating Cultural Differences in Communication
• 22:56: The Importance of Passion in Tech Careers
• 25:09: The Evolution of dbt in Tech Stacks
• 28:25: Understanding and Overcoming Imposter Syndrome
• 31:53: The Balance of Being Replaceable vs. Irreplaceable
• 34:57: The Value of Early Adoption in Technology
• 39:55: Advice for Aspiring Data Professionals

 

Speakers:

• Guest: Juan Manuel Perafan, Co-Author, Fundamentals of Analytics Engineering
• Host: 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.

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