Abstract: Systems and methods for processing data for use in machine learning models, including receiving a request to generate a pipeline including two or more tasks, the request defining which features to ingest and output and instructions for processing the features; generating the pipeline including based on the request; for one or more producer tasks: retrieving the ingestible features from one or more databases, processing the features, and outputting curated features; for one or more consumer tasks: retrieving the ingestible features from a previous task in the pipeline upon which the consumer task depends, processing the features, and outputting curated features; storing the curated features associated with one or more tasks of the two or more tasks in a feature store; and providing the stored curated features associated with the one or more tasks of the two or more tasks to a machine learning model for ingestion.