Peter Burns Email & Phone Number

Peter Burns is a Vice President Big Data Platform Engineering at Citigroup. He possess expertise in sdlc, big data, hadoop, enterprise architecture, cloudera certified administrator for apache hadoop and 2 more skills.

Listed skills include Sdlc, Big Data, Hadoop, Enterprise Architecture, and 3 others.

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  Vice President Big Data Platform Engineering

  Citigroup

  2004 - Present - Senior Big Data Platform Engineering Specialist

  experienced with all components of the Hadoop ecosystem and a contributor to the architecture and engineering platform at Citi • Designed Hadoop architectures (with features such as high availability, scalability, process isolation, load-balancing, workload scheduling, etc.). • Install, validate, test, and package Hadoop products on Red Hat Linux platforms. Publish and enforce Hadoop best practices, configuration recommendations, usage design/patterns, and cookbooks to developer community. • Perform security and compliance assessment for all Hadoop products. • Evaluate capacity for new application on-boarding into a large scale Hadoop cluster. • Provide Hadoop SME and Level-3 technical support for troubleshooting. • 3+ years Hadoop application infrastructure engineering and development methodology background. • Experienced with Cloudera distribution (CDH) and Cloudera Manager - Advanced experience with HDFS, MapReduce, Hive, HBase, ZooKeeper, Impala, Pig, and Flume. • Experienced installing, troubleshooting, and tuning the Hadoop ecosystem. Experience with multi-tenant platforms taking into account Data Segregation, Resource Management, Access Controls, etc. • Experienced with Red Hat Linux, UNIX Shell Scripting, Java, RDBMS, NoSQL, and ETL solutions. • Experienced with Kerberos, TLS encryption, SAML, LDAP  • Experienced with with full Hadoop SDLC deployments with associated administration and maintenance functions. • Experienced with concepts such as high-availability, redundant system design, disaster recovery and seamless failover. • Overall knowledge of Big Data technology trends, Big Data vendors and products. • Ability to create documents of high quality. • Ability to work in a structured environment and follow procedures, processes and policies. • Self-starter who works with minimal supervision. Ability to work in a team of diverse skill sets and geographies.