Senior Big Data Engineer Resume San Francisco, CA - Hire IT People

SUMMARY:

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.
Designer 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

SPECIALTIES:

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, multithreading

TECHNICAL SKILLS:

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

PROFESSIONAL EXPERIENCE:

Senior Big Data Engineer

Confidential - San Francisco, CA

Responsibilities:

Presently responsible for architecture, design, development, and enhancement for a distributed company wide system monitor, concerning with analysis, and alerts for company applications and systems.
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 UPC 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 CMS 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

Responsibilities:

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

Responsibilities:

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

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Senior Big Data Engineer Resume

San Francisco, CA

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