Service family
Data, Cloud & Integration
Making data move correctly between the systems that run the business.
What this addresses
Most data problems are not analytics problems. They are integration and migration problems that surface as reporting nobody trusts, operational teams maintaining private spreadsheets, and systems that disagree about the same transaction.
Capabilities
- Data architecture and data engineering
- Data migration, cleansing, transformation, and data quality
- Data pipelines and cloud data platforms
- Data warehousing and reporting modernization
- Analytics architecture and Snowflake engineering
- AWS architecture
- API integration and middleware integration, including MuleSoft
- Secure data exchange and vendor data integration
- Operational data applications
Operating principle
Data work is connected to operational outcomes rather than treated as an isolated technical discipline. The same capability supports migrations, application operations, analytics, compliance, automation, and the intelligence products the company builds.
Relevant experience
Professional experience David Martin brought to the company from McKesson and CoverMyMeds included consolidating pharmacy reporting and analytics onto Snowflake with pipelines from the operational platform, deploying MuleSoft integration between the referral HUB and pharmacy operations, and writing the Python that cleaned, transformed, and packaged migration data.