Ryan S is a seasoned consultant with nine years of hands-on experience designing, building, and deploying large-scale Java/J2EE and Big Data systems. He combines deep expertise in Hadoop, HBase, MapReduce, Solr/Lucene and OLAP design with strong OOAD and TDD practices to deliver robust distributed applications. An active open-source contributor and maintainer-style practitioner, he has submitted features and fixes to HBase and extended projects like Heritrix for distributed web crawling. He has built multi-threaded crawling frameworks and orchestration tooling in Java and Python, and is comfortable managing cluster deployments and CI/CD pipelines using Maven, Nexus, Hudson and related test frameworks. Based in Knoxville, Tennessee, he runs OpenSource Masters, a consultancy established in 2007 that packages enterprise-grade open-source engineering for teams of any size. Less obvious: he blends low-level systems work (cluster services, MapReduce) with practical search and indexing experience, enabling end-to-end data ingestion to queryable analytics.
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