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Senior Big Data Engineer Resume

San Francisco, CA


Engineer looking for opportunities in the big data space in southern Oregon, working remotely, or part time remotely. I have hands - on experience with second generation distributed processing technologies, such as storm and spark, distributed database, distributed search, J2EE, and its contenders, and I have designed and built systems with those, and other large scalabilty oriented technologies. I have a solid understanding of software architecture principals and enjoy putting those to use in new application and in migrating older applications.


  • Big Data, Hbase, Storm, Solr, Elasticsearch, Logstash, Kibana, Spark, Git, J2EE/JEE, REST, Spring, ORM, AJAX, JSon, JavaScript, Eclipse, Tomcat, Apache, JDBC, SQL, RDBM, Data Modeling, Java, Scala, UML, JUnit, XML, DOM, Maven, ANT, UNIX Shell, Object-Oriented Programming (OOP), design patterns, transactional programming, multithreadingDesigner and developer of software solutions that address specific business needs in a customer oriented manner.
  • System Architecture & Design
  • Big Data
  • Hands-on Technical Knowledge
  • Backend to Frontend Experience
  • Oral/Written Communication
  • Flexible and Adaptable
  • Multi-tiered Web Applications


Big Data, Elasticsearch, Logstash, Kibana, Hbase/Phoenix, Spark, Storm, Hadoop, Hbase, Scala, Kafka, Zookeeper, kafka, Ambari suite, Spring, Object-Oriented Programming (OOP), Solr/Lucene, ActiveMq, Eclipse, JQuery, Data Modeling, Java, UML, *NIX, Windows, design patterns, transactional programming, multi-threading


Senior Big Data Engineer

Confidential, San Francisco, CA


  • Designed and implemented monitoring service using distributed frameworks for persistence and analysis of metric and log data within Confidential . Presently handles billions of log and metrics for realtime search and analysis, and many more billions of metrics and logs for non-realtime search and distributed processing, and analysis.
  • Earlier work also includes:
  • Redesigned Confidential subsystem for significantly increased performance of three hundred percent.
  • Design used as template for all other entities migrated in systems
  • Designed security system for main Confidential to an easily upgradeable solution
  • Made significant architectural changes for scalability and maintainability, including standards patterns and application layering

Technologies used: Spark, Storm, Solr, Elasticsearch, Kafka, Flume, Hbase, Phoenix, HDFS, Hive, Ranger, Heroku, Google Cloud, Openshift, Kubernetes, Spring, Zookeeper, Ambari, Hortonworks Platform

Technical Consultant

Confidential, San Mateo, CA


  • Assisted customers in integration, which lead to high satisfaction and referrals
  • Developed suite of tools for testing and demonstrating software, to speed integration time and ease customer’s anxiety

Software Engineer

Confidential, Palo Alto, CA


  • Designed and implemented internationalization for Confidential, increasing customer base to Japan and Europe
  • Ported e-commerce application from proprietary application server to JEE application server.

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