Forest Pfeiffer is a data engineer with a decade of technical experience who currently builds scalable data platforms at Sound Transit after driving infrastructure and analytics initiatives at Meta. He specializes in Python, SQL, Spark, and cloud platforms (GCP/AWS), and has a track record of turning fragmented data into trusted single-source-of-truth assets and real-time dashboards used by thousands. At Meta he operationalized metrics that directly influenced engineering decisions, reduced operational delays by applying LLMs to predict missing supplier data, and led cross-functional teams to replace brittle spreadsheets with automated, extensible data assets. His background in civil engineering and service as a U.S. Marine contribute to a pragmatic, disciplined approach to complex systems and field-to-cloud problem solving. He mentors junior engineers and thrives on projects that combine ML, data reliability, and developer experience. Based in Bellevue, WA, he blends enterprise-scale impact with hands-on ETL and dashboarding craftsmanship.
10 years of coding experience
14 years of employment as a software developer
Data Engineering NanoDegree Data Engineering, Data Engineering NanoDegree Data Engineering at Udacity
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