photo of Nancy Trinh

Nancy Trinh

I have experience in Python (including the data science stack, e.g., Numpy, Pandas, Scikit-Learn), SQL, Ruby, JavaScript, and Docker.

I recently built Venice, a tool to help developers experiment with stream processing pipelines locally.

Venice architecture

This is a project I worked on as part of a remote three-person team.

Venice is a tool that makes it easy to run a streaming pipeline locally. It sets up a pipeline consisting of containerized components for users looking to experiment with event streaming. It's like a Minikube for event streaming.

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