Richard Lee

Operated in a zero-to-one environment, establishing practical data models, analytics flows, engineering standards, and lightweight governance practices. Architected and delivered a microservices-based investment platform with secure transactional data models and production reliability.

Owned and evolved production data pipelines and dbt models supporting reporting, product analytics, and self-service BI. Designed and optimized ELT pipelines on AWS using Snowflake, dbt, SQL, and Python, and integrated near real-time Kafka event streams.

Led end-to-end design and delivery of a large-scale data platform, implementing bronze/silver/gold layered architecture. Re-architected Azure cloud data infrastructure with focus on governance, security, and reliability.

Architected the Online Vehicle Management System for the Hong Kong government, leading backend services using Java, PHP, and Oracle. Optimized system performance, achieving a 15% reduction in processing delays.

Designed and built robust system frameworks and led the development of the Stock Centralised Trading System, including database architecture and core modules. Supported project governance and release controls in a regulated financial technology environment.

Pursued a Master of Information Technology (Research) at Auckland Institute of Studies from 2023 to 2025.

Earned a Bachelor of Computer Science from Yanshan University from 1995 to 1999.