
Joan Yang
@joanyang1
I build high-throughput fintech systems, data products, and Agile delivery teams.
What I'm looking for
At Red Dot Payment, I build high-throughput fintech systems and data products that support daily processing of 30,000 transactions. I translate complex business requirements into scalable software, data flows, and system designs.
I architected end-to-end interactions for gateway switching, fraud detection, and recurring transaction processing, using UML sequence, activity, and class diagrams. I also developed REST APIs in Java and Spring to connect applications with AWS Aurora.
I reduced internal report-building workload from two weeks to four hours by creating a self-service Mendix interface. I have also merged and curated data from two legacy databases for more than 3,000 merchants, resolving discrepancies along the way.
I lead cross-functional delivery for frontend and backend ACL-driven modules and champion Agile practices as a Scrum Master. I value open communication, diverse perspectives, and continual learning while building reliable cloud data pipelines and microservices.
Experience
Work history, roles, and key accomplishments
Data / Software Engineer
Red Dot Payment Pte Ltd
Aug 2019 - Feb 2026 (6 years 6 months)
Architected end-to-end system interactions and data flows, producing UML diagrams to integrate gateway switching, fraud detection, and recurring transaction processing. Developed a user-friendly interface in Mendix, reducing workload from 2 weeks to 4 hours, and led a cross-functional team to deliver frontend and backend systems.
Education
Degrees, certifications, and relevant coursework
National University of Singapore
Master of Science, Physics
2019 - 2022
Grade: 4.28
Master of Science in Physics from the National University of Singapore, with a cumulative average point of 4.28.
The University of Melbourne
Bachelor of Science, Mathematical Physics
2016 - 2018
Grade: 75.33
Bachelor of Science in Mathematical Physics from the University of Melbourne, with a weighted average mark of 75.33.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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