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코드 따라하기 ↗Create a Customer Insights Pipeline with Airflow and dbt
Manohar Sai Jasti, Analytics Engineer at Workday, guides you through building a simple yet production-ready pipeline that turns raw customer data into actionable insights.
Manohar Sai Jasti
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How to Build Adaptive Data Pipelines for Future-Proof Analytics
Leverage data warehousing techniques combined with business logic to build a scalable and sustainable approach to data analytics.
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Building an ETL Pipeline with Airflow
Master the basics of extracting, transforming, and loading data with Apache Airflow.

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Getting Started with Apache Airflow
Learn the basics of bringing your data pipelines to production, with Apache Airflow. Install and configure Airflow, then write your first DAG with this interactive tutorial.



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, Analytics Engineer at Workday, guides 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.
Key Takeaways:
Session Resources (Including link to DataLab notebook)