Hadoop Developer Resume ,Dallas,TXÂ - Hire IT People

OBJECTIVE:

Seeking a position where I can assure my best in what I knew well and at the same time gaining more knowledge in today’s rapidly growing technology and building my career accordingly.

SUMMARY:

I define myself as Agile and self - motivated person which drives me to learn new methodologies fast and handle various situations.
Fast learning of various new technologies such as PLASMONICS which is yet to be available in the market.
Good knowledge and working experience on PLC and SCADA where we monitor the whole plant with few tools like LabVIEW.
Apart from Electronics also had good experience on programming languages as C, java, HTML and data base systems as MYSQL, Mongo DB and HBase.
Having good understanding in Hadoop architecture and experience its components as HDFS, YARN, Node Manager, Application Master, Map Reduce Programming.
Have sufficient work experience on PIG, HIVE, SQOOP, Flume.
Knowledge on Android Mobile Application development using Ionic framework, Angular JS, mlab, Web development for that application.
Followed development methodologies such as Agile (SCRUM).
Excellent oral and written communication skills.

TECHNICAL SKILLS:

Languages: C, Java, SQL.

Web Programming: HTML, CSS, Java script, Angular JS, Ionic.

Data Base design: MySQL, Mongo DB, HBase

Operating System: Linux, Windows 7,8,10.

Hadoop/Big Data Ecosystem: Hadoop, HDFS, YARN, MapReduce, Pig, Hive, Sqoop, Oozie, Zookeeper

Tools: LabVIEW, Multisim, keil uvision, Microsoft Visual studio.

Others: PLC, SCADA, AutoCAD.

PROFESSIONAL EXPERIENCE:

Hadoop Developer

Confidential,Dallas,TX

Responsibilities:

Experience in configuration, management, supporting and monitoring Hadoop cluster using Cloudera distribution.
Worked in Agile scrum development model on analyzing Hadoop cluster and different Big Data analytic tools including Map educe, Pig, Hive, Flume, Oozie and SQOOP.
Configured Hadoop MapReduce, HDFS, developed multiple MapReduce jobs in Java for data cleaning and preprocessing.
Loaded data into cluster from dynamically generated files using Flume and from relational database management systems using Sqoop.
Established custom MapReduce programs to analyze data and used Pig Latin to clean unwanted data.
Involved in creating Hive tables, loading with data and writing hive queries that will run internally in map reduce way.
Used Pig as ETL tool to do Transformations, even joins and some pre-aggregations before storing the data onto HDFS.
Implemented Partitioning, dynamic Partitions and Buckets in Hive for increasing performance benefit and helping in organizing data in logical fashion.
Implemented in loading and transforming of large data sets of different types of data formats like structured and semi-structured data.
Responsible to manage data coming from different sources.
Involved in creating Hive Tables, loading data and writing hive queries.
Involved in scheduling Oozie workflow engine to run jobs automatically.
Implemented No SQL database like HBase for storing and processing different formats of data.
Involved in Testing and coordination with business in User testing.
Involved in Unit testing and delivered Unit test plans and results documents.

Environment: Apache Hadoop, Map Reduce, HDFS, Hive, Pig, Sqoop, Oozie, HBase, UNIX shell scripting, Zookeeper, Java, Eclipse.

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Hadoop Developer Resume

Dallas, Tx

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