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Developed Spark jobs and Hive Jobs to summarize and transform data. Experience in Configuring Name-node High availability and Name-node Federation and depth knowledge on Zookeeper for cluster coordination services. Big Data Hadoop Resume. Involved in moving all log files generated from various sources to HDFS for further processing through Flume. Hadoop Developer Resume Examples. Lead Big Data Developer / Engineer Resume Examples & Samples Lead Data Labs (Hadoop/AWS) design and development locally including ELT and ETL of data from source systems such as Facebook, Adform, DoubleClick, Google Analytics to HDFS/HBase/Hive/ and to AWS e.g. Involved in writing the Properties, methods in the Class Modules and consumed web services. Expertise in implementing SparkScala application using higher order functions for both batch and interactive analysis requirement. Having extensive experience in Linux Administration & Big Data Technologies as a Hadoop Administration. Big Data/Hadoop Developer 11/2015 to Current Bristol-Mayers Squibb – Plainsboro, NJ. Worked closely with Photoshop designers to implement mock-ups and the layouts of the application. 3 years of extensive experience in JAVA/J2EE Technologies, Database development, ETL Tools, Data Analytics. Databases Oracle 10/11g, 12c, DB2, MySQL, HBase, Cassandra, MongoDB. Excellent Experience in Hadoop architecture and various components such as HDFS Job Tracker Task Tracker NameNode Data Node and MapReduce programming paradigm. How to write a Web Developer resume. Hands on experience in configuring and working with Flume to load the data from multiple sources directly into HDFS. Determined feasible solutions and make recommendations. Used Sqoop to efficiently transfer data between databases and HDFS and used flume to stream the log data from servers. Download Pin by Bonnie Jones On Letter formats 2019. Objective of the Hadoop data analytics project is to bring all the source data from different applications such as Teradata, DB2, SQL Server, SAP HANA and some flat files on to Hadoop layer for business to analyze the data. Extracted files from NoSQL database like HBase through Sqoop and placed in HDFS for processing. Developing and running map-reduce jobs on a multi-petabyte yarn and Hadoop clusters which process billions of events every day, to generate daily and monthly reports as per user's need. Good understanding of architecture and design principles. Hadoop Developers are similar to Software Developers or Application Developers in that they code and program Hadoop applications. Real-time experience in Hadoop Distributed files system, Hadoop framework, and Parallel processing implementation. Big Data Hadoop And Spark Developer Resume. If you find yourself in the former category, it is time to turn … Objective : Experienced Bigdata/Hadoop Developer with experience in developing software applications and support with experience in developing strategic ideas for deploying Big Data technologies to efficiently solve Big Data processing requirements. Involved in transforming data from legacy tables to HDFS, and HBase tables using Sqoop. Designed and implemented HIVE queries and functions for evaluation, filtering, loading and storing of data. The specific duties mentioned on the Hadoop Developer Resume include the following – undertaking the task of Hadoop development and implementation; loading from disparate data sets; pre-processing using Pig and Hive; designing and configuring and supporting Hadoop; translating complex functional and technical requirements, performing analysis of vast data, managing and deploying HBase; and proposing best practices and standards. Follow Us Environment: Hadoop, Hortonworks, HDFS, pig, Hive, Flume, Sqoop, Ambari, Ranger, Python, Akka, Play framework, Informatica, Elastic search, Linux- Ubuntu, Solr. Around 10+ years of experience in all phases of SDLC including application design, development, production support & maintenance projects. Cloudera CDH5.5, Hortonworks Sandbox. Handling the data movement between HDFS and different web sources using Flume and Sqoop. Cloudera CDH5.5, Hortonworks Sandbox, Windows Azure Java, Python. Skills : Sqoop, Flume, Hive, Pig, Oozie, Kafka, Map-Reduce, HBase, Spark, Cassandra, Parquet, Avro, Orc. PROFESSIONAL SUMMARY . Having basic knowledge about real-time processing tools Storm, Spark Experienced in analyzing data using HiveQL, Pig Latin, and custom MapReduce programs in Java. Developed Sqoop jobs to import and store massive volumes of data in HDFS and Hive. Participated with other Development, operations and Technology staff, as appropriate, in overall systems and integrated testing on small to medium scope efforts or on specific phases of larger projects. Environment: Hadoop, Cloudera, HDFS, pig, Hive, Flume, Sqoop, NiFi, AWS Redshift, Python, Spark, Scala, MongoDB, Cassandra, Snowflake, Solr, ZooKeeper, MySQl, Talend, Shell Scripting, Linux Red Hat, Java. Developed MapReduce programs for pre-processing and cleansing the data is HDFS obtained from heterogeneous data sources to make it suitable for ingestion into hive schema for analysis. Skills : Hadoop Technologies HDFS, MapReduce, Hive, Impala, Pig, Sqoop, Flume, Oozie, Zookeeper, Ambari, Hue, Spark, Strom, Talend. Experience in processing large volume of data and skills in parallel execution of process using Talend functionality. EDUCATION Jawaharlal Nehru Technological University, India Bachelor of Technology in Electronics and Communication Engineering! Responsible for the design and migration of existing ran MSBI system to Hadoop. Responsible for developing data pipeline using Flume, Sqoop, and PIG to extract the data from weblogs and store in HDFS. Responsible for Cluster Maintenance, Monitoring, Managing, Commissioning and decommissioning Data nodes, Troubleshooting, and review data backups, Manage & review log files for Horton works. Scripting Languages Shell & Perl programming, Python. Developed data pipeline using Flume, Sqoop, Pig and Java MapReduce to ingest customer behavioral data and financial histories into HDFS for analysis. Hadoop Developer Sample Resume 2 CAREER OBJECTIVES Overall 8 Years of professional Information Technology experience in Hadoop, Linux and Data base Administration activities such as installation, configuration and maintenance of systems/clusters. Built on-premise data pipelines using kafka and spark for real time data analysis. Experienced in developing Spark scripts for data analysis in both python and scala. Responsible for loading bulk amount of data in HBase using MapReduce by directly creating H-files and loading them. Created hive external tables with partitioning to store the processed data from MapReduce. Hadoop Developer Temp Resume. Environment: MapR, Cloudera, Hadoop, HDFS, AWS, PIG, Hive, Impala, Drill, SparkSql, OCR, MapReduce, Flume, Sqoop, Oozie, Storm, Zepplin, Mesos, Docker, Solr, Kafka, Mapr DB, Spark, Scala, Hbase, ZooKeeper, Tableau, Shell Scripting, Gerrit, Java, Redis. Completed basic to complex systems analysis, design, and development. Introducing the best free resume templates in Microsoft Word (DOC/DOCX) format that we've collected from the best and trusted sources! Involved in creating Hive tables, loading with data and writing hive queries which runs internally in Map Reduce way. Pankaj Kumar Current Address – T-106, Amrapali Zodiac, Sector 120, Noida, India Mobile. Collaborating with application teams to install operating system and Hadoop updates, patches, version upgrades. Skills : Cloudera Manager Web/ App Servers Apache Tomcat Server, JBoss IDE's Eclipse, Microsoft Visual Studio, Net Beans, MS Office Web Technologies HTML, CSS, AJAX, JavaScript, AJAX, And XML. If you want to get a high salary in the Hadoop developer job, your resume should contain the above-mentioned skills. Pankaj Resume for Hadoop,Java,J2EE - Outside World 1. Interacted with other technical peers to derive technical requirements. Analyzed the data by performing hive queries and running pig scripts to study data patterns. Implemented Spark RDD transformations to map business analysis and apply actions on top of transformations. PROFILE Hadoop Developer 2 years of experience in Big Data processing using Apache Hadoop 5 years of experience in development, data architecture and system design.! You are looking for your dream job and need a cover letter? Implemented different analytical algorithms using MapReduce programs to apply on top of HDFS data. Involved in developing multi threading for improving CPU time. Created tasks for incremental load into staging tables, and schedule them to run. Experience in setting up tools like Ganglia for monitoring Hadoop cluster. for4cluster ranges from LAB, DEV, QA to PROD. Hadoop Developer Cardinal health provides services such as Logistics, Specialty solutions, Pharmacy solutions, Supply chain management, etc. Free Junior Ruby Rails Developer Resume Resume Resume Sample. Developed ADF workflow for scheduling the cosmos copy, Sqoop activities and hive scripts. MindMajix is the leader in delivering online courses training for wide-range of IT software courses like Tibco, Oracle, IBM, SAP,Tableau, Qlikview, Server administration etc As per ZipRecruiter Salary Report 2018, the average Hadoop developer salary is $108,500 per annum. Participated in the development/implementation of the cloudera Hadoop environment. A Hadoop Developer is accountable for coding and programming applications that run on Hadoop. Involved in loading and transforming large sets of structured, semi-structured and unstructured data from relational databases into HDFS using Sqoop imports. The major roles and responsibilities associated with this role are listed on the Big Data Developer Resume as follows – handling the installation, configuration and supporting of Hadoop; documenting, developing and designing all Hadoop applications; writing MapReduce coding for Hadoop clusters, helping in building new Hadoop clusters; performing the testing of software prototypes; pre-processing of data using Hive and Pig, and maintaining data security and privacy. Strong experience in data analytics using Hive and Pig, including by writing custom UDF. Driving the data mapping and data modeling exercise with the stakeholders. Headline : A Qualified Senior ETL And Hadoop Developer with 5+ years of experience including experience as a Hadoop developer. Headline : Hadoop Developer having 6+ years of total IT Experience, including 3 years in hands-on experience in Big-data/Hadoop Technologies. Expertise in Hadoop ecosystem components HDFS, Map Reduce, Yarn, HBase, Pig, Sqoop, Spark, Spark SQL, Spark Streaming and Hive for scalability, distributed computing, and high-performance computing. See Big Data Engineer resume experience samples and build yours today. If you can handle all the Hadoop developer job responsibilities, there is no bar of salary for you. Worked extensively in Health care domain. Worked with Linux systems and RDBMS database on a regular basis to ingest data using Sqoop. Page 1 of 6 RENUGA VEERARAGAVAN Diligent and hardworking professional with around 7 years of experience in IT sector. Check out Hadoop Developer Sample Resumes - Free & Easy to Edit | Get Noticed by Top Employers! Big Data Engineer Resume – Building an Impressive Data Engineer Resume Last updated on Nov 25,2020 23.3K Views Shubham Sinha Shubham Sinha is a Big Data and Hadoop … Responsible for understanding business needs, analyzing functional specifications and map those to develop and designing programs and algorithms. Monitored Hadoop scripts which take the input from HDFS and load the data into the Hive. Download it for free now! Responsible for building scalable distributed data solutions using Hadoop. Take inspiration from this example while framing your professional experience section. The resume can vary as per your skill, like for fresher and experienced candidates the resume format may differ slightly from each other. Environment: Hue, Oozie, Eclipse, HBase, HDFS, MAPREDUCE, HIVE, PIG, FLUME, OOZIE, SQOOP, RANGER, ECLIPSE, SPLUNK. Framing Points. RENUGA VEERARAGAVAN Resume HADOOP 1. Experienced in migrating Hiveql into Impala to minimize query response time. Used Multi threading to simultaneously process tables as and when a user data is completed in one table.

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