Sushil Dwivedi Email and Phone Number

Working on Hybrid and Multi-Cloud technologies using VMware's SaaS and SDDC platform.

Working on Microservices architecture using Cisco's Maglev SDK(similar to SpringBoot) using Kubernetes and Docker, Building event based streaming data processing framework (Pipelines) to handle live streaming data using Apache Kafka, Apache Beam, Apache Flink, GraphDB, Redis, RabbitMQ, MongoDB, Kubernetes and Docker on Cisco's private cloud.

Worked on Distributed system architecture.

Credit Suisse’s Digital Private Banking Technologies: Java 8/Concurrency, JPA, EclipseLink, Spring, JAX-RS, Apache CXF WebServices, JMS, PL/SQL , Apache CAMEL, Jersey, JAXB, Temenos XPML, EJB, JAP 8, JUnitOther tools: BEA WebLogic Server, Postman, Oxygen, TeamCity, Oracle 11g, Oracle PL/SQL Developer, SoapUISDLC Methodology: Agile, Test driven developmentDescription:In rolling out of Credit Suisse's Digital Private Banking capabilities, We are redesigning the way in which Credit Suisse's legacy Private Banking and Wealth Management business was serving their clients, Here We are building digital private banking solutions for the RMs so that they can have deeper insight into their clients’ preferences and investment objectives.Role and Responsibility in project: • Involved in the Requirement gathering, understanding and analysis of building one of the RM Channel module - Planning Center.• Involved in building the RESTful Web Services with JAX-RS.• Involved in implementing FAPI lair using Java Apache CAMEL API which is used as Enterprise Integration Pattern.• Implemented Routing, Processing, Enrichment and Validation of request and response through Java – Apache CAMEL API.• Extensively used Jackson JSON processing API to handle JSON request and response. • Involved in implementing SecurityHelper and Login module.• Involved in implementing authentication mechanism by using JWTs.• Implementation of XStream API for serialization and deserialization of XML.• Involved in building the Portfolio module to read the financial data from the ALIS.

Team: Citi’s BigData Applied Engineering Technologies: Java, Apache Hadoop, Cloudera Search, Spring SAMLOther tools: Cloudera Manager, Eclipse, WASCE, Jira, PlanviewThe Applied Engineering team is responsible to ensure the Big Data platform technology and frameworks are integrated with Citi engineering products and processes, The CATE Big Data Platform is an Enterprise O&T strategic initiative by CATE, DIO , GPA, GFDS and CTI that enables Citi to harness the power of Big Data and unlock the value of executing analytics at scale.Task Performed:• Worked on DataIngestor utility.• Worked LDAP-Synch utility.• Provided custom implementation for Hadoop ecosystem: Hive UDF/SerDe, HBase REST Client, Hadoop API Client• Engineer custom scripts required for maintaining 3rd party libraries in XENV.• Worked on Cloudera Search with Sentry enabled CDH cluster.• Worked on POC related to SAML based SSO in Spring Security Applications.• Research work on Cirro Data Hub, Apache Hive, Beeline, Apache Stinger, Apache Tez and Apache Spark.

Application Development using Java/J2EE technologies. Extensibly used Design Patterns, Spring, Hibernate frameworks.Worked on AWS using EC2, S3, Redshift, CloudWatch and SNS.NoSQL/MPP: HBase, MongoDB, Cloudera Impala, Amazon RedshiftORM: Hibernate 3.4, JPA2.0, EclipseLink, SpringDataWeb Services: SOAP, RESTful, JAX-RS, Apache CXF WebServicesServlet, JSP, JDBC, Spring 3.0, EJB3.0, Hibernate 3.4, JPA 2.0, EclipseLink, and Struts 1.1Databases: MySQL 5.0, Oracle, PostgreSQLUnit Testing Framework/Functional Testing Tool: JUnit, PowerMockito ,Mockito, SoapUI-5.*, Postman REST ClientIn-Memory Distributed Caching Framework: Hazelcast Worked on Hadoop Ecosystem - HDFS, MapReduce, Hbase-MapReduce and HBase Java Client API, Cascading API, Amazon Java SDK, Oozie, Sqoop, Hive, Pig, Apache Solr, Apache Sentry and Cloudera Impala.