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Data Analyst Resume


  • me happen to no about your vacant position of Data Analyst and me am highly interested to acquire the job. me has an extensive experience in the IT industry, in Big Data specifically and me believe that me would be of halp in your organization. In fact
  • me has also attended trainings in Pig, MongoDB, Hive, Big - Data and Hadoop, which me believe would be greatly useful in high volume data analysis. me has also worked
  • Hadoop-Big Data ecosystem tool, where me was given the responsibility of providing Big Data Analytics to technically challenging areas.Wif over 18 years of experience as a professional Hadoop Consultant
  • me can confidently say that me possess the required skills for the job that me am applying for in your organization. me am capable of providing accurate analyses of your organization’s data sets wif the use of the latest big data technologies if you would give me the chance to do so.
  • me also always see to it that me am fully equipped wif the latest noledge about the trends in the Big Data industry.
  • me am also highly experienced in Big Data Analytics, especially through the use of HIVE, HDFS, HBASE, Spark Streaming, Cloudera Hadoop, Pig, Scala, Flume, MapReduce, MongoDB, Sqoop, Tableau, R-Programming and Tibco Spotfire platforms.
  • me has also developed Big Data Analytics Projects including the Twitter Analytix that uses the Spark-Scala in capturing real time tweets that are then stored in the Cassandra DB. me has halped in developing Data Analytics modules through the use of R in reading real time tweets data. On the other hand, MongoDB was used in generating the analytical report. me am also an excellent team player.
  • The things mentioned above are just some of the things that me can contribute and do for your organization as well.
  • me would truly appreciate it if you give me a chance to discuss the said position wif you. me would also gladly answer all your questions in mind and provide you wif all the information you would need. TEMPThank you for your consideration.


  • Big Data Analytics
  • Hadoop
  • HDFS
  • Spark Streaming
  • Cloudera Hadoop
  • Pig, Scala
  • Flume
  • MapReduce
  • MongoDB
  • Sqoop
  • Tableau
  • R-Programming
  • Tibco Spotfire platforms.

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