Kris Eberwein is a Principal Data Engineer with 11 years of experience designing and leading end-to-end analytics platforms across cloud and on-prem Big Data environments. He combines deep hands-on expertise in Spark, Python, Scala, HiveQL and Bash with a proven ability to align data architecture to revenue-generating business outcomes. Kris has led cross-functional teams to optimize massive-scale Hadoop clusters, build cost-efficient AWS and Kubernetes data pipelines, and deliver production-ready datasets for ML and analytics. Known for translating complex technical constraints into clear data strategies, he also drives process and framework improvements that reduce operational cost and increase transparency for stakeholders. Based in Orlando, he blends technical leadership with a practical background in technical communications, enabling effective collaboration between engineers, data scientists, and business leaders. A habitual tinkerer with ETL and analytics tooling, he frequently surfaces non-obvious efficiencies in pipeline design that materially improve performance and maintainability.
11 years of coding experience
9 years of employment as a software developer
B.A. Technical Communications, B.A. Technical Communications at University of Central Florida
A Dockerfile to initialize Shiny-Server and RStudio Server on CentOS7
Contributions:8 commits, 1 PR, 7 pushes in 2 years 1 month
dockerfileinitializedocker-imageshiny-serverphp
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