Chenyang Ren is a software engineer based in the San Francisco Bay Area with nine years of engineering experience and a recent focus on data pipelines and ETL at Google and Rally Health. He brings 3+ years of hands-on experience building Spark- and Airflow-driven pipelines on AWS S3 and Databricks, turning messy data into reliable downstream assets. His background spans production systems at scale and research-driven solutions from internships at Microsoft and Oracle, including NLP model work with TensorFlow and semi-supervised methods to address sparse labels. Comfortable bridging research and production, he has a track record of shipping robust cloud-native ETL components and improving data reliability across teams. Trained with a CS master’s from UC Irvine and early systems work at Carnegie Mellon, he combines low-level systems thinking with modern data engineering practices.
9 years of coding experience
4 years of employment as a software developer
Bachelor's degree School of Computer Science, Bachelor's degree School of Computer Science at Beijing University of Posts and Telecommunications
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