End-to-End Data Ingestion, Transformation and Orchestration with Airbyte, dbt and Kestra

The blog post explores how to build an end-to-end data ingestion, transformation, and orchestration workflow using open-source tools such as Airbyte, dbt, and Kestra, which collectively help avoid vendor lock-in in the Modern Data Stack. Airbyte is highlighted for its capability to integrate data from various sources to destinations like data warehouses or lakes, while dbt aids in transforming raw data into analytics-ready datasets using SQL or Python within a cloud analytics warehouse. Kestra, an event-driven orchestrator, is described as instrumental in managing orchestration logic through a declarative YAML syntax, making it accessible to both domain experts and programmers. The post includes a hands-on demonstration of combining these tools to automate and coordinate data pipeline processes efficiently, emphasizing the benefits of modular technology stacks built on open-core platforms.