USA
Belgium
France
UK
Australia
India
Singapore
Client Background
The client is a major health insurance provider in New York State. It provides various health insurance plans under Medicaid, Medicare and commercial line of business.
Client Need
- Build a process to push transactional system data to AWS S3
- Migrate away from MuleSoft services
- Build an application to convert provider data to XPF file to update FACETS data
- Build a solution to convert member related domains from Facets to JSON and the pushing to Kafka
- Migrate from Medmeasure to QI tool for generating HEDIS measures for health plan ratings
- Generate required extracts to support and perform analysis for Value Based payment initiative
- Enhance the existing MDM process to add EDW data as a source
- Build data pipeline for clinical analytics
Our Solution
- Developed a DataStage job using AWS CLI commands to push data into the AWS S3 buckets from different sources such as Sybase, Greenplum & Oracle
- Performed all the file operations such as insert, list & delete into the S3 buckets and for incremental runs
- Analyzed all the MuleSoft services and migrated to Golang and ETL services using DataStage
- Developed .NET application for XPF file generation
- Created stored procedure for getting the member details from Facets and mapping the fields in .NET to create a JSON message and push to Kafka
- Developed ETL jobs using DataStage and stored procedures to generate extracts for QI tool and VBP initiatives
- Developed Informatica ETL and MDM Hub Jobs to include EDW Data as source in the MDM process
- Developed tables and scripts to load data into EDW for Clinical Analytics
Key Benefits
- Achieved sync between local storage and AWS identification of data marts that need to operate on top of AWS bucket for business analysis
- Saved Mule infrastructure upgrade investment which resulted in achieved better performance through ETL and GO
- Enabled business to meet the submission mandates/timelines, monthly incremental and outreach runs for 2020 with QI tool
- Enabled business to identify and use the golden records from EDW data and consume it in downstream system across the organization
- Enabled business to build clinical dashboards and reports
Tools & Technologies
Greenplum
.Net Framework
SQL Server
IBM InfoSphere
Information Builders Webfocus
Sybase IQ
