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Senior Hadoop Developer Resume

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SUMMARY:

  • A dynamic professional wif around 8+ years of rich experience in Analytics, Big Data, Storm, Kafka, Hadoop, Spark, AWS Stack, Hive, SQL
  • Mongodb, Zookeeper and Kibana willing to share, implement and contribute my knowledge to teh company
  • Rich experience in data analytics and big data wif Cloudera certification in Hadoop (CCDH).
  • Highly articulate communicator wif outstanding team - building and interpersonal skills; comfortable to work wif individuals at all levels.
  • Understand and document customer requirements

PROFESSIONAL EXPERIENCE:

Confidential

Senior Hadoop Developer

Responsibilities:

  • Managing and working wif teh team to handle data on a large datalake.
  • Working on performance analysis on teh existing queries wif Hive and setting up drill to understand teh difference between both.
  • Building and working on models to solve complex issues using technologies like Spark in Scala.
  • Analyse and understand teh availability of data for teh business on teh BDIO every month
  • Working on allocations of different permissions for users on teh servers using Ranger and also work on teh major deployments of teh team.

Confidential

Sr Hadoop Consultant

Responsibilities:

  • Worked on different layers of architectures and technologies like spark,hive,
  • Analyzed and assessed data on various parameters
  • Gave new insights to teh client by performing analytics on complex data sets using different technologies
  • Worked on an AWS Redshift initiative to analyze all you're data across teh data warehouse and data lake
  • Explored new technologies to understand their ability and suggested clients teh right tool at different scenarios

Confidential

Sr. Hadoop Developer

Responsibilities:

  • Played a key role in designing Data Swarm product
  • Worked extensively on AWS EC2 and AWS Cloud formation to setup teh whole project
  • AWS S3, Kinesis, MongoDB, Cassandra, Kafka, Apache NIFI were some of teh components which were worked on end to end to be setup in teh product.
  • Analyzed large data sets by running Hive queries
  • Installed and worked on R and closely worked wif data science team

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