Marrick
Problem
Patient, provider, and case data were dispersed across dozens of separate systems and static reporting processes. As the organization continued to grow, teams lacked a centralized analytics foundation, making it untenable to access reliable information, measure our impact on the patient care journey, and support strategic decision-making.
Solution
Designed and implemented new centralized data architecture and reliable reporting infrastructure. This consolidated key patient data from disparate systems into a single trusted analytics environment. Partnered with stakeholders across the organization to define unified reporting requirements, improve data quality and integrity, and create sustainable analytics processes.
Outcome
Improved trusted visibility into the impacts our teams have on patients’ care journey in their time of need
Established a centralized source of truth for organizational reporting
Increased confidence in business metrics and decision-making
Created a scalable analytics foundation to support future growth
“I had the pleasure of managing Jay directly, and I recommend them without hesitation for any data engineering or analytics work. Jay tackled one of our most stubborn challenges: decades of fragmented, inconsistent data that had never been properly organized. They took full ownership, assessed the landscape, and planned and led a complete ELT pipeline rebuild using Redshift, dbt, Amazon QuickSight, and Power BI. The result was a modern, dependable data infrastructure that the business now relies on every day. Alongside that, Jay drove the adoption of a company-wide data platform that gave our executive team access to the right information at the right time. That work required more than technical skill. It took business acumen, cross-functional communication, and the ability to lead change at an organizational level. Jay handled all of it with confidence and clarity. What also stood out was Jay’s initiative in building data literacy across the company. They designed and led workshops that helped colleagues at every level understand how to use data in their decision making. That kind of investment in the people around them goes well beyond the job description. Jay is a skilled, self-driven data professional who delivers real results and makes the teams around them better. Any organization would be lucky to work with them.” — Amanda L. — Director of Engineering