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Principle Architect Resume

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Sunnyvale, CA

SUMMARY:

I am a Principal Architect of Technology at Confidential with hands on experience in implementing large scale data platform using Big Data Technologies like Spark, Apache Flink, Couchbase, Kafka, Cassandra, Hbase, MapReduce, Hive and HDFS. Deployed and Managed large scale distributed application on AWS and Openstack using Kubernetes and mesos cluster.

TECHNICAL SKILLS:

Primary Skills: Java, Scala J2EE, Node.js(Express JS and Hapi JS), Restfull/WebServices(Micro - services) and ORM technologies.

Cloud: AWS and Openstack

Big Data Technology: Apache Flink, Couchbase, Hadoop, HDFS, MapReduce, KAFKA, Spark (Scala/Java), Cassandra, Hive, Flume, HBaseApplication Server: WebLogic, Tomcat, Websphere Application Server 6.1, JBoss

RDBMS: MS SQL Server 2000, Oracle 9i, DB2, MySQL.

DevOps tools: Ansible, Terraform, Megneto/Puppet, Mesos/Marathon Framework, Kubernetes using Docker

PROFESSIONAL EXPERIENCE:

Confidential, Sunnyvale. CA

Principle Architect

Responsibilities:

  • Designed and Developed real time analytics platform using KAFKA, Spark(Scala), Apache Flink, Couchbase and Cassandra for the Wi-Fi device data for over 45 million subscribers with over 200k requests per second. - Datastax distribution
  • Data pipeline with Kafka producers (Node JS) streaming data into large scale Kafka clusters, events being consumed by large scale Spark/Flink consumers
  • Performance and Capacity benchmarking for AWS and Open stack.
  • Designed developed API’s to access data from Analytics platform as Micro service using Node.JS(Hapi.js)
  • AWS and Open stack deployment using Terraform and Ansible
  • Production support and live debugging using Splunk, Prometheus and Grafana charts

Confidential

Responsibilities:

  • Designed and developed end to end solution for the high-volume data processing for the data generated from field devices for the volume of over 40TB of data per week
  • Design Data Processing system comprising of Hadoop- Flume, HDFS, MapReduce, Hive and HBase- Cloudera distribution
  • Develop Core Framework based on Hadoop to Migrate Existing ETL (RDBMS) Solution
  • Developed Core ETL Framework using Map Reduce. Highly customizable framework for including ETL Job inclusion for the object transformation with minimum effort.
  • Designed and implemented HBASE data model and implemented Avro framework to persist the data into HBASE table for high volume and complex data structure.
  • Implemented HIVE jobs for the Event management and Performance log processing and analysis. Trouble shoot/Debugged and Tuned Hive queries.

Confidential

Responsibilities:

  • Architected, Designed Order Management System for the Largest Japanese Auto Manufacturer using J2EE, Spring and Restful services.
  • Led overall delivery and implementation of system using the technologies Spring MVC, Spring Security, Hibernate, Spring Batch, iText and Apache POI, RESTFul Services

Confidential

Responsibilities:

  • Led a team of 70 Engineers in Confidential over 1.5 years and delivered 4 Market releases
  • Application Architecture for Confidential Application with J2EE, Dojo Java Script Framework, Struts and Hibernate

Confidential

Responsibilities:

  • Architected more than 20 features for the product for 4 major releases.
  • Technical Lead for 4 major product releases of CRM-OnDemand ® product.
  • Delivery of End to End delivery of Siebel OnDemand Development from Offshore, starting from requirement to the Production Support.
  • Led a team of 16 Engineers.
  • Designed and developed features like Siebel Analytics Integration using Axis Client web services framework, Analytics Folder permission, Analytics Web services Integration, Role Based Dashboard, iBots, Custom Dashboards.

Confidential

Responsibilities:

  • This project was migration of Finacle CRM and eChannels application to J2EE Platform
  • Worked as Lead Developer
  • Work with Product Management group for Requirement analysis.
  • Develop High Level and Low-Level Design.
  • Developed core framework components for the Product using J2EE

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