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6

big data developer

  • Worked as Offshore lead to gather business requirements and guided the team
  •  Implemented spring boot micro services to process the messages into the Kafka cluster setup
  • Used Spark SQL on data frames to access mysql tables into spark for faster processing of data.
  • Configured Spark streaming to receive real time data from the Kafka and store the stream data to HDFS.
  • Used Spark for interactive queries, processing of streaming data and integration with popular NoSQL database for huge volume of data.
  • In preprocessing phase of data extraction, used Spark to remove all the missing data for transforming of data to create new features.
  •  Improved Spark performance and optimization of the existing algorithms in Hadoop using Spark Context, Spark SQL, Data Frame, PairRDD’s, Spark YARN
7

big data developer

  • Gathered requirements from the Onsite lead
  • Involved in all the team meetings & meeting with the clients.
  • Worked on creating Hive table definitions.
  • Worked on getting the data from the files and loading them to the Hive external tables.
  • Enriching the data in Hive tables by joining different tables and creating a final view for the enriched data.
  • Involved in the Development, testing and validation of the entire code related to Hive, NIFI, Shell Scripting
  • Worked with the Hadoop admin for the deployment of the project.
8

big data developer

  • Analysis, Design and Development of complex business applications in Apache Spark with Scala. 
  • Orchestration of a vast set of applications involving Spark applications, Web Services, Python and Shell Scripts using Apache Oozie and NIFI. 
  • Design the end to end flow using Apache NIFI which helps in data routing, transformation, and system mediation logic.
  • Responsible for Development of a scripting based framework which is used as the base for Orchestration in the complete project. 
  • Work with the Architect directly to manage large, complex design projects for corporate clients. 
  • Grooming the next generation of developers to understand the architecture and functioning of the project. 
9

senior big data developer

  • Understand ,design and implement requirement to meet the client expectation.
  • Understand the raw data ,design and develop spark applications to process,store and visualise the data.
  • Troubleshoot time and memory consuming spark applications and optimise. 
  • Used Agile (SCRUM) methodologies for application development.
10

big data developer

  • Data Migration from SqlServer to HDP 
  • Played a vital role in building the enterprise data lake. 
  • Hive and Sqoop were used for report generation on the Hadoop platform.
  • Responsible for both development of new technology in the Hadoop stack & administration of the existing clusters.
  • Worked on Referral programs (Digidhan & Bhim Referral schemes to name a few). 
  • Worked on designing interactive analytics architecture on HDP.Architecture is based on lambda architecture.Spark was used for building pipeline & as a processing tool.
  • Hbase as a storage layer & Apache phoenix as a sql layer for interactive analysis on most granular data