Purpose of the project is to design and develop Elastic pipeline to provide search functionality for log events from application servers. Parsing the log events using File beat. Parsing the events using Logstash. Creating the Kibana dashboards for analytics with Elasticsearch integration. Configuration of alerts based on the use cases. Generating the reports from multiple sources like Database, Elasticsearch using Java/J2EE. Monitoring the system and application health using Metric beat, APM. URL monitoring of API endpoints using Heartbeat. Developing SPRING Restful API Services for report generation

Core Banking is the major business for DBS bank, involved in development of new service for funds transfer from DBS Account to POSB account for WBS channel. Thoroughly involved in developing and designing services using Eontec framework which is used for the enterprise internet banking applications. There are many host systems to interact and integrate with the Eontec framework using MQ’s and Web Services

ADP has the huge client base across the Insurance Services over 10 years. Our Data Analytic team took initiative on analyzing the big data. Below are the two core scenarios we designed

1. Client Retention: Determining the number of clients leaving/Cancelling per year in between the policy period using the factor Reason Code. This report will be used by the sales persons in ADP to further analysis to provide compensations under ADP Agency commission factor to the respective clients in order to retain them for a longer period of time.

2. Carrier Reports: Carriers are very much interested to know the top client who has been covered insurance for the long time with them. Assign a rank to each client based on the client's association with a carrier for more than one policy period.

SBS, Small Business Services providing mainly Insurance capabilities to the existing clients in the ADP. That means giving the value adds to the clients by providing them to get insured for the employees for a client. SBS act as an agency and takes care of creating a policy and interacting with the external systems like QBMS (Quote Binding Management Systems), Payroll and Carriers.

Mainly this project has Data Acquisition module which integrates with all ecosystems and gather the data into SBS. Validates QBMS policy against the Payroll and Carrier systems. After the validation steps, policy will be imported from staging schema to Production schema. Next step is to calculate the premiums based on the net rates for each SUI states against the class codes for each employee.