Vanketesh K. Profile

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$10 USD / orë

bangalore,

india

$10 USD / orë

Aktualisht është 6:10 p.d. këtu

U bashkua gusht 26, 2016

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Vanketesh K.

@kumarvicky1995

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$10 USD / orë

bangalore,

india

$10 USD / orë

Asnjë

Punët e Plotësuara

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Brenda Buxhetit

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Në Kohë

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Shpeshtësia e Rimarrjes në Punë

BigData Developer and Trainer | Data Expert

I am a professional, part-time freelance, Hadoop developer with a bachelor's degree in engineering with 2+ years of experience in the Industry. My Skills are : * Strong hands-on experience in BigData Technologies - Hadoop, Hive, Pig, Scoop, Spark Core, spark SQL, Spark Streaming, Streamsets, Kudu, Imphala, Kafka. * Shell Scripting. * Real time - Building end to end spark streaming applications. * Familiar with Elastic search(search and analytics engine), Logstash(data processing pipeline that ingests data from multiple sources ) & Kibana(visualize data with charts and graphs in Elasticsearch). * Hands-on experience NoSql Databases - MongoDb, cassandra, Couchbase. * Strong Hands on in Python programming & SQL database. * Object Oriented Programming and Data Structure. * Distributed computing. * Setup and Administration of: RHEL Server with i) Hadoop ecosystem applications(HDFS, Yarn, Hive, etc.) Opensource & Cloudera Manager ii) Active Directory & Microsoft exchange

Shikoni të gjitha Java Developers në India

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Vlerësimet

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Përvoja

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mar 2019 - E tashme

Worked on : Python, Scala, Spark, Hive, Imphala, Pig, Imphala -Streamsets, kudu, Kafka -Shell Scripting

N/A

jan 2018 - mar 2018 (2 months, 1 day)

Worked on : Elasticsearch, Logstash, Kibana Apache Spark - Pyspark, Scala Spark, spark streaming MongoDB Cloudera Manager Administration Hadoop - Mapreduce, Hive, Pig, Sqoop Microsoft Exchange 2008 Administration Active Directory 2012 Administration SQL Python

Arsimi

Bachelors in Engineering

Visvesvaraya Technological University,

India

2013 - 2017

(4 years)

Kualifikimet

IBM .

2019

This badge earner has a basic understanding of Spark. The earner can describe Spark, articulate its benefits, and describe how it is used. The individual can also use Resilient Distributed Datasets (RDD) and DataFrames to perform in-memory computing and create applications on top of the Spark built-in libraries

IBM .

2018

This badge earner has a basic understanding of Hadoop. The earner can describe what Big Data is and the need for Hadoop to be able to process that data in a timely manner. The individual can describe the Hadoop architecture and how to work with the Hadoop Distributed File System (HDFS) using IBM BigInsights