🎙️ ⁠Daniel Herrera: Principal Developer Advocate at Teradata

🎙️ ⁠Jovan Gligorevic: Data Engineer at Bitpanda

In this episode, we explore the productionization of dbt (data build tool) with our guest, Jovan Gligorevic. The conversation delves into strategies for effectively deploying dbt, including using software engineering best practices, CI/CD pipelines, and orchestration tools.

Jovan emphasizes the importance of balancing speed of development with adherence to best practices and data security requirements. He also offers practical advice on improving the dbt deployment process, highlighting how these improvements can increase productivity and data quality in analytics engineering teams. The discussion covers topics such as pre-commit hooks, testing strategies, and the integration of dbt with tools like Airflow and Cosmos for efficient orchestration.

🎙️ ⁠Tony Zeljković: Data Engineer at Full scale bioinformatics

In this episode, we explore the developer experience in data engineering with our guest, Tony. The conversation delves into strategies for enhancing developer experience, including the use of dev containers, proper system design with loose coupling, and effective testing practices.

Tony emphasizes the significance of stakeholder management and understanding different perspectives in data projects. He also offers practical advice on improving the overall developer experience, highlighting how these improvements can increase productivity and value in data engineering teams.

🎙️ ⁠Ricardo Granados Lopez: Analytics Engineer at Xebia

In this episode, we delve into the world of data careers and analytics engineering. Our guest, Ricardo Granados, shares his journey from medicine and industrial engineering to analytics.

The conversation explores the evolution of data roles, particularly the emergence of analytics engineering as a bridge between data engineering and data analysis.

We also touch on critical aspects of data work, including data modeling, the challenges of working with different data environments, and the importance of data quality and governance.

The discussion highlights the often-overlooked human aspects of data projects, the evolving nature of data platforms, and the importance of continuous learning and practical experience in data modeling and analytics.

🎙️ ⁠Fanny Kassapian⁠: Principal Consultant at Xebia

In this episode, we dive into the world of data transformations. Our guest, Fanny Kassapian, shares insights on creating efficient, scalable, and user-friendly data pipelines, drawing unexpected parallels with IKEA furniture assembly. We also explore key principles such as code readability, modularity, and the art of documentation, debunking common misconceptions along the way.

The conversation touches on often-overlooked aspects of data work, including the importance of naming conventions, the power of well-designed dashboards, and the challenges of replicating real-world scenarios in data education.