

Results-driven software engineer with over 4 years of experience in financial services, focusing on cloud-native data engineering and full-stack development. Skilled in creating scalable ETL pipelines utilizing AWS services such as Glue, Lambda, and S3, alongside developing user-centric applications with React. Achievements include enhancing data workflows for user transactions and implementing CI/CD pipelines that increased deployment efficiency. Proficient in Python, PySpark, SQL, and AWS CDK for infrastructure as code. Aside from my job, I like to travel, run, and swim on the weekends.
Tom TA - Transaction Order Management, Principal Global Services
Designed and deployed AWS Glue jobs for extracting data from master databases, transforming business logic, and loading it into interim/staging databases
Leveraged Step Function for execution of glue jobs and error-handling mechanism
AAV Data Ingestion Hub, Hong Kong Region
Architected an end-to-end data ingestion pipeline using AWS Step Functions, S3, Glue, and DynamoDB that served real-time users.
RSC Customer Portal, Customer Engagement Platform
Built customer-facing React.js application for fund investment and portfolio management serving 50K+ users and maintained RESTful services, ensuring data consistency across multiple database systems
PISYS5
Handled critical legacy application on Spring Boot Java having 20M user for Hong Kong region.