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Create a Customer Insights Pipeline with Airflow and dbt

Wednesday, December 3, 11 AM ET

Key Takeaways

  • Learn how to design and build a data pipeline using Airflow and dbt.
  • Understand best practices for robust, maintainable pipeline architecture.
  • Explore a real-world use case transforming customer data into business insights.

Your Presenter(s)

Manohar Sai Jasti headshot

Manohar Sai Jasti

Analytics Engineer at Workday

Manohar develops data pipelines to feed Workday's analytics team and data products. He's an expert in designing and implementing scalable data systems. Previously, Manohar was a Data Engineer at Stord and a Senior Consultant at Kaizen Analytix.

Why this matters

Data pipelines are the backbone of modern analytics. But designing them to be both robust and adaptable can be a challenge. In this hands-on session, you’ll learn how to build a complete customer insights pipeline using two of the most powerful tools in the data engineer’s toolkit: Airflow for orchestration and dbt for transformation.

In this code-along webinar, Manohar Sai Jasti, an Analytics Engineer at Workday, will guide you through building a simple yet production-ready pipeline that turns raw customer data into actionable insights. You’ll learn key principles of pipeline design, how to schedule and manage workflows, and how to ensure your transformations are reliable and testable.

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