Daniel Eynis is a Senior Software Engineer based in Seattle with a decade of experience building data processing and cloud-native systems. He has deep hands-on expertise in Java, Spark, Airflow, and AWS (EMR, S3, Lambda), having designed ingestion, normalization, and export pipelines that power client reporting and recovered production systems under pressure. At Comscore he migrated PySpark apps to EMR, automated deployments with CloudFormation/Sceptre, and produced revenue-impacting SQL and Spark reports; since 2022 he’s continued scaling data platforms at Uber. Comfortable across backend, DevOps, and legacy systems, he also brings leadership experience from academic capstone projects and tutoring, which sharpens his ability to communicate complex technical problems. A pragmatic problem solver, he combines production-first reliability with a track record of automating tedious ops work to accelerate delivery.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Portland State University
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