• Led the mediation service migration project to Google Cloud Platform from in-house infrastructure

• Implemented double caching module using Redis and In-Memory LRU to support fast data access in mediation service

• Reduced the dependency of database module (MySQL) by redesigning data format as object and storing into Google Cloud Storage

• Supported dynamic multifurcation of demand waterfall for every request by integrating rule engine service using Drools framework

• Enabled dynamic rule loading and runtime updates by decoupling the rule engine module into different micro services.

• Highly participated from architecture prototype, database schema design, implementation, and end to end testing

• Designed and implemented the distributed data pipeline using Kafka and Spark to improve data processing efficiency and support scaling of the backend system

• Developed and maintained microservices for Linqia Platform using RESTful API, Hibernate, ElasticSearch and Kafka

• Wrote RESTful APIs for Linqia Library to support Linqia Platform between backend and frontend sides

• Implemented monitoring scripts for data integrity and webpage access with Nagios

• Designed and implemented system features, and updated SQL for searching queries

• Created test cases based on business requirements and improved system performance through stability and vulnerability testing under SIT environment

• Resolved defects and ensured system robustness and software functionalities fully satisfy specifications