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Hadoop Developer Resume

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AtlantA

SUMMARY

  • A software professional with over 5+ years of experiencing developing applicationsin the field of information technology with extensive knowledge on Hadoop Eco System.
  • Hands on experience in Hadoop eco - system technologiesApache Spark, Hive, Pig, Sqoop,Oozie, Zookeeper, Kafka, Storm, Apache HBase and MapReduce/YARN, HDFS.
  • Hands-on experience on full life cycle implementation using HDP (HORTONWORKS) distributions and good knowledge on CDH(Cloudera).
  • Strong Knowledge on Architecture of Distributed systems and Parallel processing, In-depth understanding of MapReduce programing paradigm and Spark execution framework.
  • Expertise in writing Scala APIs for data analysis and data manipulation by creating data frames in Spark.
  • Strong knowledge on HiveQL and experience in writing queries to analyze data stored across multiple file formats such as text, Sequence files, Avro, ORC, and Parquet.
  • Experience in writing UDFs for Hive, Pig, custom MapReduce programs.
  • Worked on creating Sqoop jobs to import data from relational databases into HDFS and exporting analyzed data into relational databases for report generation and visualization.
  • Good knowledge using Spark Framework for batch and real-time data processing using Spark Streaming.
  • Experienced in tuning long running Spark applications and implementing features like graceful shutdown, fault tolerance and fail over.
  • Experience in migrating unstructured datainto the HDFS using Kafka.
  • Hands on experience in non-relational databases like HBase and MongoDB.
  • Experienced in data ETL from SQL/NoSQL databases and worked on integrating data from various file formats into a combined analytical data model for reporting.
  • Experiencewith versioncontrolsystemslikeGitHub and SVN.
  • Good knowledge SDLC, Agile and WaterfallMethodologies.
  • Involved in dailySCRUMmeetingstodiscussthedevelopment/progressand wasactivein making scrum meetings moreproductive.
  • Experience in analysis, requirement specification and design and solution description.
  • Team player with good interpersonal skills, strong understanding of fundamental business processes and Communication skills.

TECHNICAL SKILLS

Operating Systems: Windows Server 2000/2003/2008, Windows 10/8/7/XP/Vista, MAC OS, Linux (Red Hat, Ubuntu),cent OS 6.0

Hadoop Framework: HDFS, Map Reduce and YARN, Spark, HIVE, PIG, Oozie, Zookeeper.

Languages: JAVA, Scala, HiveQL, Pig-Latin, Linux Commands and SQL.

Databases: HBase, MongoDB, Oracle, MySQL, MS SQL Server.

Data Ingestion / ETL Tools: Sqoop, Storm, Flume, Kafka.

IDE: Eclipse and IntelliJ

PROFESSIONAL EXPERIENCE

Confidential, Atlanta

Hadoop Developer

Responsibilities:

  • Worked on HortonworksHadoop distribution systems.
  • Performed various data validations, data cleansing and data aggregation using series of Spark Applications written using Scala.
  • Responsible for designing and implementing the data pipeline using Big Data tools including Hive, Oozie, Spark, Drill, Sqoop.
  • Written scripts in HiveQL and pig-Latin to analyze the data and build test cases to test and detect early defects in the imported data.
  • Worked with different file formats like ORC, Parquet,Avro and compression techniques like gzip and Snappy.
  • Written queries usingHiveQL to analyze the data and Provided reports and data metrics to different LOBs leveraging Hive.
  • Worked with application developers and project stakeholders to perform testing, troubleshooting of the applications to provide the best possible output before boarding to Hadoop.
  • Worked on HBase for manipulation of structured, semi-structured and unstructured data.
  • Developed Oozie Workflows to string all the actions to develop end to end data analytic pipelines.
  • Developed UDFs in JAVA to performMapReduce jobs.
  • Worked with multiple individuals from different levels of SDLC to coordinate, prioritize, schedule and track project goals.

Environment: Hortonworks Hadoop Platform, Spark, Hive, Pig, HDFS, Map Reduce, Sqoop, Kafka, HBase, Oozie, Zookeeper, Maven, MySQL, Eclipse, Java and Agile methodologies.

Confidential, Miami, FL.

Hadoop Developer

Responsibilities:

  • Responsible for loading and managing of data in the Hadoop cluster.
  • Created Scala scripts using Spark and SparkSQL to manipulate and analyze the data.
  • Wrote scripts using HiveQL and Pig-Latin to analyze the web log data of the customers.
  • Worked on Pig Latin scripts to identify and extract the data from the web server output files to load into HDFS.
  • Used Kafka and Stromforprocessingapplication log data in realtime.
  • Setting up theStrom Streaming and Kafka Cluster.
  • Prioritized Hive queries, Pig scripts, Sqoop jobs and Map-Reduce Programs using Oozie workflows and sub-workflows.
  • Configuring Zookeeper to provide various cluster coordination services.
  • Coordinated with QA team during testing phase.

Environment: Hortonworks Hadoop platform, Linux, Spark, Hive, Pig, MapReduce/YARN,HDSF, Sqoop, Flume, Oozie, HBase, Maven, JAVA, Eclipse, Putty, Shell Scripting and MySQL.

Confidential

Hadoop Developer

Responsibilities:

  • Worked onanalyzing Hadoop cluster and different Big Data analytictools including Pig, Hive, HBase andSqoop.
  • Installed Hadoop, MapReduce, HDFS, and developed multiple MapReduce jobs in Pig and Hive for data cleaning andpre-processing.
  • Coordinated with business customers to gather business requirements, also interacted with other technical peers to derive technical requirements and delivered the BRD and TDD documents.
  • Involved in upgrading Hadoop Cluster from HDP 1.3 to HDP 2.0.
  • Created HBase tables to store various data formats of PII data coming from different portfolios.
  • Involved in Testing and coordination with business in User Testing.
  • Populate HDFS with huge amounts of data using Apache Kafka.
  • Used Hive to analyze the partitioned and bucketed data to compute various metrics for reporting.
  • Worked on POCs using Kafka and Spark for real time data processing.
  • Developed Hadoop streaming Map/Reduce work using Java.

Environment: Hadoop, Hive, MapReduce, Pig, MongoDB, Oozie, Sqoop, Kafka, Spark, HBase, HDFS, Javan and Zookeeper.

Confidential

Jr. SQL Developer

Responsibilities:

  • Participating client Business call to understand new requirements.
  • Providing transition to team to understand the flow of data to downstream.
  • Performed Database Testing to check data validity and integrity on SQL Server.
  • Making PL/SQL code change as per new Business Requirement.
  • Worked on creating anonymous PL/SQL code.
  • Working with team, providing them the process document to understand applications.
  • Writing complex SQL queries to check data in database.
  • Implementing anonymous Pl/SQL block to check data.

Environment: TOAD, SQL Developer, MSSQL.

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