Mark Oh

Centralized Dynamic CX Notification Service
• Designed and launched a backend service for centralized dynamic customer experience notifications across all Prime Video clients.
• Reduced the effort required by each client team (iOS, Android, Web, TV) to introduce new notifications, streamlining the process and improving efficiency.
• Improved user engagement and compliance by extending functionality to critical consent notifications for Cookies and Digital Market Acts, ensuring adherence to global regulatory standards.

Distributed Infrastructure for Client-Side Impression Data
• Conceptualized and implemented a message queue system using AWS Kinesis for data pipelines to process Prime Video client-side impression data at over 100k TPS.
• Enabled real-time analytics and decision-making by efficiently handling large volumes of data.
• Developed one of the largest data warehouse datasets At Amazon, subscribed by over 100 profiles/teams, driving data-driven insights and business strategies.

Client Analytics Data Collection Service Migration
• Led the migration of the client analytics Data Collection Service to modern AWS infrastructure, achieving a 100% increase in throughput capacity to over 100k TPS at peak times.
• The resulting dataset is used for crucial business decisions, including ad targeting, feature impact calculation, and customer engagement strategies.

Operational Excellence
• Created an automation template for scaling services and resources owned by the team, reducing more than 4 weeks of engineering effort annually per team for peak events readiness and campaigns. This template has been utilized and adopted by over 4 teams.
• Developed centralized monitoring dashboards on CloudWatch using CDK for all services owned by the team, significantly reducing operational churn and on-call time spent on root cause analysis and mitigation of recurring issues.

Global Service Launch Coordination
• Coordinated a successful global service launch by collaborating cross-functionally with PMs, TPMs, QAs, and Data Engineers.
• Ensured seamless integration and deployment, resulting in a 30% faster time-to-market and improved service scalability.