David Wert

Led UI architecture for a data-rich operations portal using React, TypeScript, and Next.js, standardizing component patterns and routing to reduce feature lead time by ~25%. Built a reusable design system with Storybook, tokens, and accessibility checks (WCAG), improving UI consistency across 6+ product areas and reducing UI defects by ~30%. Implemented real-time workflow updates via WebSockets and event-driven APIs (Node.js/TypeScript), enabling sub-second status refresh for high-frequency operational queues. Optimized rendering performance with memoization, virtualization, and query caching (React Query), cutting p95 interaction latency by ~40% on complex, table-heavy screens. Established maintainable state and data-fetch patterns (Redux where needed, React Query for server state), improving debuggability and reducing regressions during rapid iteration cycles. Instrumented front-end and API telemetry with OpenTelemetry and Datadog (RUM + tracing), defining SLOs and reducing mean time

Delivered responsive, high-usage web interfaces in React and TypeScript, focusing on clear user journeys and fast iteration with product/design partners. Built reusable component libraries and documentation with Storybook, improving cross-team adoption and reducing duplicated UI work across multiple squads. Integrated event-driven backends (Kafka-backed streams) into the UI using WebSockets and incremental rendering, enabling real-time updates for data-heavy dashboards. Improved front-end reliability with automated testing using Jest, React Testing Library, and Cypress, increasing coverage on critical flows and reducing production regressions. Implemented performance budgets and monitoring using Datadog RUM, addressing bundle size, code-splitting, and caching to improve Core Web Vitals on key pages. Partnered on API contracts (REST/GraphQL) and schema evolution, reducing breaking changes through versioning and contract checks in CI.

Built and maintained operational workflow tooling with React and TypeScript, improving clarity and speed for dispatch and support teams during peak volume. Implemented real-time order and driver status views using WebSockets and Redis caching, reducing manual refresh and improving responsiveness under load. Developed backend endpoints in Node.js and PostgreSQL to support UI workflows, focusing on pagination, filtering, and consistent error handling. Added end-to-end monitoring and alerting with CloudWatch and dashboards, improving incident response and reducing recurring issues through postmortem-driven fixes.