
Building Data Pipelines Using Engineering First Principles
In the world of data engineering, managing complex data pipelines with multiple dependencies, transformations, and validations is a challenging task. Our inhouse data pipeline framework provides a sophisticated solution for data workflows by introducing two fundamental abstractions: ingestion nodes(raw inputs) and transformation nodes (computed outputs).
Data Engineer



