Professional Summary
Over years of IT experience in the Analysis, Design, Development, Testing and Implementation of business application systems for Financial, Education, Aviation and sports entertainment industries using Talend Real Time Big Data Platform 7.3.1, RDBMS, AWS Services. Proficient in Talend admin (Usergroups, project authorization project reference, locks, Licenses, job conductor, big data streaming, execution plan, logging, Activity Monitoring console, audit, drools, and migration check) Expertise with Talend Data Integration and ESB frequently used components like tMap, cTalendJob, tJMS Output, tcontextload, tFixed FlowInput, tXMLMap, tJavaRow, tJavaFlex, tRestClient, tSOAP, tESBProviderRequest, tESBConsumer, tRunJob, tHDFS Connection, tCacheln, tSparkSQL and more. Good Knowledge in creating route using a data service, WSDL and calling a SOAP web service Well versed in developing various database objects like packages, stored procedures, functions, triggers, tables, indexes, constraints, views in MS SQL Server and Teradata. Experienced in in ingesting log data into HDFS using Kafka and tuning Spark for Apache Spark Big Data jobs and running Spark over YARN. Wrote ETL jobs to read from REST client API in JSON and loaded that JSON data into MySQL table. Created Unix Scripts ripts and run them using tSystem for reading the Data from flat files and archiving the Flat files t the specified server. ified serv Worked in Agile environment and and using Atlassian tool set including JIRA, Confluence, Bitbucket and Jenkins for Continuous Integration. Extensive development, support and maintenance experience working in all phases of the Software Development Life Cycle (SDLC) especially in Data Warehousing and Business Intelligence. Automation, Scheduling and monitoring of jobs with scheduler AutoSys. Deployed Talend jobs on various environments including dev, test, and production environments TECHNICAL SUMMARY: ETL Tools Talend Real Time Big Data Platform 7.3.1 EDUCATION University of Illinois Springfield M.S: Computer Science