Yuri Subach

Created a new data processing and normalization platform based on a microservices architecture. It became a core of healthcare data integration products. As a result, the company scaled integrated data sources from 20 to 1000+ and reduced the time to market for new API services from 6 months to 3 weeks.

The platform was designed to be easily scalable in terms of data volume, data transformation, and operational reliability.

It was deployed on top of a container orchestration framework in AWS cloud and was connected to operational data storage (available to clients via API and development portal) and to long-term storage (for archiving purposes).

Led the successful transition of various back-end systems to a distributed database (Cassandra, Scylla, Redis). This project allowed scaling the online media platform from 1M to 20M monthly active users.

Identified key back-end systems that required migration to a new database, prioritized according to the severity of the existing scaling issues. Deployed and maintained the initial Scylla cluster. Developed denormalized database schema to support required functionality, optimized according to data amount and expected access patterns.

Implemented migration with zero downtime and no impact on end users.

Optimized read-heavy functionality by adding a Redis cache at the read path. It allowed the distribution of the load between systems resulting in reduced API latency during peak hours from 250ms down to 80ms.

Smart Omix is a software platform enabling researchers to design, launch, manage, and analyze real-world digital clinical studies at scale. Researchers across the healthcare and life sciences industry can leverage the SaaS platform or concierge study-building services to conduct rigorous, high-quality, real-world data collection via the Smart Omix app available on iOS and Android.

In this project, I led the engineering team and provided architectural oversight to ensure engineering decisions were aligned with business needs and product roadmap.