Snehal Nagmote is a staff software engineer for the search infrastructure team at Walmart Labs. Some of his responsibilities include building data platform applications using the big data stack, and using tools such as Hadoop, Hive, Kafka, Flume, and Spark. Currently, he is focusing on building a near real time indexing data pipeline using Spark Streaming and Kafka.
Renan Pinzon is a software architect at NeoGrid and has been working with Hadoop there for more than three years. He has a lot of experience with mission-critical software and data processing/analysis. He started using Hadoop for real-time processing (HBase + HDFS) and then started to use it in data analysis with RHadoop, Pig, Crunch, and is now moving to Spark. He also has been working with search engines using Apache Solr for real-time indexing and search as well as using Elasticsearch outside of Hadoop. Despite his professional experience being more in software development, he has a strong background in infrastructure, mainly in regard to Hadoop where he has been working tuning applications.
Michael Cutler has deep experience with the Hadoop ecosystem since building one of the UK's earliest Hadoop Clusters for BSkyB in 2008 after successfully pitching CXO management for innovation funding to explore the tools and techniques, which have now become known as big data. He has real world experience in training predictive models from huge multi-terabyte datasets across diverse business use cases as: automated fraud detection, fault prediction and classification, recommendations, click-stream analysis, large scale business simulations and modeling. Michael was an invited speaker on machine learning at Hadoop World in New York. He is well connected in the open source ecosystem and is a regular speaker at data science and big data events in London.