Jr. Hadoop Developer Resume

PROFESSIONAL SUMMARY:

Around 3 years of experience in Big Data and Hadoop Adminstration
Expertise with tools in Hadoop Ecosystem including HDFS, MapReduce, Hive, Sqoop, Pig, Spark, Kafka, Yarn, Oozie, and Zookeeper.
Worked on Hadoop distributions like Cloudera, MapR and Horton Works.
Worked on importing and exporting data using stream processing platforms like Flume and Kafka.
Experience in Enterprise Service Bus(ESB) such as WebSphere Message Brokering.
Comprehensive knowledge of Software Development Life Cycle (SDLC), having thorough understanding of various phases like Requirements Analysis, Design, Development and Testing.
Ability to quickly master new concepts and applications.

TECHNICAL SKILLS:

Hadoop/Big Data Technologies/Programming Languages/Databases/Operating Systems: Hadoop 2.x, HDFS, Map Reduce, Hive, Pig, Sqoop, HBase, Flume, Oozie, Zookeeper, Spark, ScalaJava, C, Python, SQL/HiveQL, ESQLSQL Server, NoSQL, MongoDB, CassandraLinux, Unix, Windows, Mac

PROFESSIONAL EXPERIENCE:

Jr. Hadoop Developer

Confidential

Responsibilities:

Importing data into HDFS from Relational Database Systems and vice - versa by making use of Sqoop.
CreatingHiveTables, loading with data and writingHivequeries which will invoke and run Map Reduce jobs in the backend.
Analyzing large datasets to find patterns and insights within structured and unstructured data to help business intelligence with the help of Tableau.
Integrating MapReduce with HBase to import huge clusters of data using MapReduce programs.
Implementing several workflows using Apache Oozie framework to automate tasks.
Used Zookeeper to co-ordinate and run different cluster services.
Designing and developing applications in Spark using Scala to compare the performance of Spark with Hive and SQL/Oracle.
Developed and Configured Kafka brokers to pipeline server logs data into spark streaming.

Environment: Hadoop, Cloudera, Pig, Hive, Sqoop, Kafka, Spark, Storm, Tableau, HBase, Scala, Kerberos, Agile, Zookeeper, AWS, MySQL.

Hadoop Consultant

Confidential

Responsibilities:

Helping in Design, implementation and deployment of Hadoop cluster and providing solutions based on issues using big data analytics.
Part of the team that built scalable distributed data solutions using Hadoop cluster environment using Horton Works distribution.
Loading data into the Hadoop distributed file system (HDFS) with the help of Kafka and REST API
Worked on Sqoop to load data into HDFS from Relational Database Management Systems.
Carried out transforming huge data of Structured, Semi-Structured and Unstructured types and analyzing them using Hive queries and Pig scripts.
Worked with NoSQL databases like Cassandra and MongoDB for developing and implementing programs in Hadoop Environment.
Using Apache Oozie to execute the workflows.

Environment: Hadoop, Pig, Hive, HBase, Sqoop, Spark, Scala, Oozie, Zookeeper, RHEL, Java, Eclipse, SQL, NoSQL, Talend, Tableau.

Confidential

Responsibilities:

Facilitated communication between faculty and students on studend-related issues.
Represented over 300 students in various cultural, academic, professional and orientation meetings.
Served to enhance the academic experience of fellow classmates as well as the teaching experience of faculty at NEC
Provided feedbacks, commends and served a great hand in solving many practical day-to-day problems that students faced at NEC.
Guiding freshers through better paths with the past experiences and experiences of fellow students.
Filled in for teaching assistants when the professor needed help with classwork or Lab work.

Hadoop Intern

Confidential

Responsibilities:

Used Hadoop Cloudera Distribution. Involved in all phases of the Big Data Implementation including requirement analysis, design and development of Hadoop cluster.
Using Spark RDD and Spark SQL to convert MapReduce jobs into Spark transformations by using data sets and Spark Data frames.
Coding Scala for various Spark jobs to analyse customer data and sales history among other data.
Design, build and support pipelines of data ingestion, transformation, conversion and validation.
Performing different types joins on hive tables along with experience in partitioning, bucketing and collection concepts in Hive for efficient data access.
Worked on NoSQL databases including HBase and Cassandra.
Developed the data model to manage the summarized data.

Environment: Hadoop, Cloudera Hive, Java, Oozie, Cassandra, Zookeeper, HiveQl/SQL, MongoDB, Tableau.

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