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Sr. Hadoop Developer Resume

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Denver, CO

PROFESSIONAL SUMMARY:

  • Experienced Senior Hadoop Developer has a strong background on Distributed parallel computation systems in a Big Data and Analytics arena. Understands the complex processing needs of Big Data and has expertise in Analysis, Design, Development, Testing and Deployment to address those needs. Brings a Master’s Degree in Computer Applications.
  • 9 + years of experience on Big Data Hadoop and Java Solutions Analysis, Design, Development, Testing and Deployment.
  • Expertise on Big - Data Hadoop stack using Cloudera, EMR, Hortonworks Data Platforms.
  • Experience on Amazon cloud components AWS - EC2, EMR, S3, RDS, Redshift, Data pipeline .
  • Capable of processing large sets of structured, semi-structured and un-structured data and supporting systems applications architecture.
  • Expertise with data architecture including data ingestion, data cleansing, data modeling, transfromations, data mining and advanced data analytics.
  • Extensive experience in using eco systems components Map Reduce, Hive, HQL, Pig, Sqoop, Oozie, Flume, HBase and Apche Spark .
  • In-depth understanding of MR and YARN .
  • Experience in writing Oozie workflows to run multiple jobs.
  • Experience on the SparkCore, SparkSQL and Spark Streaming .
  • Expertise on creating RDD’s and Transformations in Spark.
  • Experience on creating Data Frames and JDBC RDD’s for Relational data processing in SparkSQL.
  • Experience on integrating Kafka and Spark for Real Time processing.
  • Familier with Kafka Mirror Maker setup and tuning for performance.
  • Experience with Kafka Topics and Partitions creation.
  • Responsible for data replication on multiple Data Centers .
  • Experience in installing, configuring and monitoring Hadoop clusters.
  • Responsible to develop shell scripts for automating and testing jobs.
  • Vast experience on developing Java based web, products and enterprise applications.
  • Experience as ETL developer using Talend Studio for Big Data.
  • In-depth understanding in Talendcomponents for HDFS, S3, HIVE and Java.
  • Able to assess business rules, collaborate with stakeholders and perform design and reviews .
  • Expertise in Functional and Technical designs development and implementations.
  • In-depth understanding of Hadoop infrastructure and Design Patterns .
  • Collaborates well across technology groups.
  • Experience in both Waterfall and Agiledevelopment methodology.
  • Extensive experience in reviewing and analysisng requirements documents, understanding business process flow diagrams and use cases .
  • Familiar with Hadoop cluster administration and cluster management.
  • Experience in creation of reusable components using multiple technologies.
  • Good understanding of ORC, RC, Sequence File, AVRO and Parquet file formats.
  • Experience on SQL and No-SQL databases.
  • Expertise on Spring MVC Controllers development for data processing.
  • Experience on User Stories creation and tracking in Rally, VersionOne for Agile methodology.
  • Experience on domains Retail, Finance and Telecom .
  • Excellent communication and presentation skills.

TECHNICAL SKILLS:

Hadoop Skills: MapReduce, HDFS, Hive, Pig, Sqoop, Spark, Kafka, HBase, Oozie.

Apache Spark: Spark Core, Spark SQL, Spark Streaming .

AWS Cloud: Amazon EMR, S3, Redshift, EC2, RDS Postgre, Data Pipeline .

Hadoop Distributions: Hortonworks, Pivotal, EMR, MapR, Cloudera .

Languages: Java, J2EE, C, C++.

Frame Works: Spring, Hibernate, Struts, Versata .

ETL: Talend ETL, Talend Studio

Databases: Oracle, MySQL, Teradata, DB2, Hive, AWS RDS Cassandra.

Tools: Rally, VersionOne, GitHUB, Eclipse, Clear Case, Clear Quest.

Methodologies: Agile, Waterfall, UML, Design Patterns.

Platforms: Windows XP, 7, 8.1, Linux Centos, RHEL.

Servers: WebSphere, Darwin, Tomcat, Darwin.

PROFESSIONAL EXPERIENCE:

Confidential, Denver, CO

Sr. Hadoop Developer

Responsibilities:

  • Responsible for migrating data from diversified data sources into Hadoop XNet platform.
  • Responsible for creating low level designs for code implementations.
  • Created Sqoop jobs for both Historical and Incremental data migration from legacy systems.
  • Developed re-usable SFTP utility for flat files migration into XNet platform.
  • Developed Kafka producer and consumer components for real time data processing.
  • Implemented Kafka Mirror Maker for data replication across the clusters.
  • Experience on Kafka and Spark integration for real time data processing.
  • Responsible for creating Event Handler Classes for events processing.
  • Created RDD’s for data transformations from relational stores.
  • Responsible for creating Hive tables in landing layer for analytics.
  • Developed folder watcher utility for continuous data migration to HDFS.
  • Developed Oozie workflows for running sequentialjob flows in Production.
  • Created mapping documents from legacy systems to Hadoop.
  • Developed file parsers utilities for parsing files as per the requirement.
  • Responsible for user stories creations, tracking and delivering as per sprint planning.
  • Familier with Cassendra from development to deployment. Worked on Gremlin for development.

Environment: HDP-2.3 YARN cluster, HDFS, Hive, Spark SQL, Spark Streaming, HBase, Kafka, Sqoop, Oozie, Control-M and Cassandra.

Confidential

Sr. Hadoop Developer

Responsibilities:

  • Facilitated insightful daily analysis of both historical and incremental data sets for 100’s of TB’s.
  • Developed MapReduce programs to convert data from filesystems to canonical json files.
  • Created Hive external and internal tables to load data from Landing to Foundation.
  • Developed shell scripts to perform data loads in automated way and perform analysis.
  • Created Hive queries that helped data analysis on customer purchase trends by comparing fresh data with EDW reference data and historical metrics.
  • Created partitioned and bucketed tables to organize data and achieved better performance.
  • Responsible for creating Talend workflows to migrate data from Amazon S3 to Hadoop platform.
  • Developed Talend ETL for data transformations, joins, filters, mapping, aggregations before sotring data on Hadoop and exporting data to relational systems.
  • Created Talend workflows for data enrichment and data cleansing using multiple components.
  • Developed custom java requirements in Talend using tJava component.
  • Responsible for data exports to MySQL and Redshift using Talend studio.
  • Implemented RC, ORC, Sequence and AVRO files formats in Hive to achieve better performance.
  • Implemented data compression technics to save space for historical data tables.
  • Developed Sqoophistorical jobs for data migration from Teradata and DB2 to Hadoop platform.
  • Designed and developed Oozie workflows for Hadoop jobs execution in sequence.
  • Implemented Shell, Sqoop, Hive and Java actions in Oozie for running multiple jobs in cluster.
  • Implemented forking mechanism for achieving parallelism in Hadoop.
  • Developed re-usable SFTP framework for data migration from external systems.
  • Created HBase tables for handling updates in Hadoop with data loads.
  • Participated in converting existing Hadoop jobs to spark jobs using SparkCore, Spark SQL.
  • Responsible for landing and exporting multi source data to HDFS using Talend.

Environment: HDP-2.2 YARN cluster, Talend Studio, HDFS, Map Reduce, Apache Hive, Apache Pig, Apache Spark,Sqoop, Oozie, EDW, ADW,Control-M, SFTP, HBase.

Confidential

Hadoop Developer

Responsibilities:

  • Developed of data migration workflows from Amazon S3 to HDFS using Talend studio.
  • Developed data cleansing and transformation workflows using Talend.
  • Written pig scripts for data processing and KPI implementations in Hadoop.
  • Implemented UDF’s for KPI’s and embedded in Pig scripts.
  • Written Talend workflows for data exports into RDBMS systems and Cloud data bases.
  • Developed MapReduce programs for converting un-structured data into structured data.
  • Performed code reviews, migrations from lower to higher environments.
  • Developed Oozie jobs for executing sequence of job flows.

Environment: CDH 5.5 Hadoop cluster, EC2, AWS-S3, RDS, Talend studio, HDFS, Map Reduce, Apache Hive, Apache Pig, UDF’s, Oozie, C#, Geo-click, QlikView.

Confidential

Java Developer

Responsibilities:

  • Performed requirements analysis as per the client requirements.
  • Developed technical design documents as per functional design documents.
  • Coded Java programs for application pages and modules development.
  • Coded Java programs for creation for financial documents.
  • Developed reporting module for Advantage.
  • Responsible for defects tracking and defect fixing in application.
  • Integrated Adobe reader for PDF reporting module.
  • Developed validation frame work for Admin module for entire application.
  • Designed and developed visualization module for application as per client needs.

Environment: Java, WebSphere, Versata, Clear Case, Clear Quest, HTML.

Confidential

Java Developer

Responsibilities:

  • Performed requirements analysis as per the client requirements.
  • Developed code as per technical design documents.
  • Developed functionality for Video streaming using MP4IP tool.
  • Performed analysis on Darwin server and done installation and configuration.
  • Developed code to embide Quicktime streaming plugin for video streaming.

Environment: Java, FFMPEG, MP4IP, Darwin, Spring MVC, JSP, Tomcat, Clear Case, Clear Quest.

Confidential

Associate Java Developer

Responsibilities:

  • Executed required R&D as per project requirements.
  • Performed requirement analysis as per client needs.
  • Developed code to embide QR codes in the application.
  • Developed Click to Call and Click to Connect functionality in the application.

Environment: Java, J2EE, Spring MVC, JSP, Hibernate, Tomcat, Clear Case, Clear Quest.

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