[Proposal][GSoC 2025] Tecton Feature Store Enrichment Handler for Beam Hello Beam Dev Community,
I'm happy to share the design document for the Tecton Feature Store Enrichment Handler for Apache Beam, developed as part of my GSoC 2025 project. This enrichment handler enables streaming and batch pipelines to enrich data with features from Tecton's online feature stores. This component seamlessly integrates Tecton's capabilities into Beam data processing workflows, allowing pipelines to retrieve pre-computed or real-time features for various machine learning use cases. Here is the link to the design document: https://docs.google.com/document/d/1_CFyGA7_Al0LJqeQeuxhPCAzYI8IkkoIEj3oP8Ay5ZE/edit?usp=sharing This implementation is part of the GSoC 2025 ML Integration project being tracked here: https://github.com/apache/beam/issues/35046 I welcome any feedback, suggestions, or questions about the design approach. Thank you, Mohamed
