Amanda Wee is a Senior Data Engineer with 12 years of experience building data platforms and backend systems, blending deep hands-on expertise in Snowflake, Redshift, dbt, Airflow/Prefect, and Python/Django with a master's in Health Informatics. She has led migrations from Teradata to Snowflake and from AWS to GCP, designed ELT pipelines using AWS DMS and Kafka streaming, and implemented data quality, monitoring and disaster-recovery practices for production analytics. Comfortable across DevOps, data stewardship and access governance, she frequently bridges engineering and business needs—e.g., enabling store-level alerts for on-shelf availability and GraphQL-driven performance dashboards. Her background in healthcare analytics motivates a focus on using robust data engineering to improve health outcomes, and she combines enterprise-scale platform work with a startup founder's practicality from earlier SaaS and e-commerce projects.
12 years of coding experience
6 years of employment as a software developer
Master of Health Informatics, Medical Informatics, Master of Health Informatics, Medical Informatics at Auckland University of Technology
GCE 'A' Level Certificate, Science, GCE 'A' Level Certificate, Science at Anglo-Chinese Junior College
B.Comp., Computer Science, B.Comp., Computer Science at National University of Singapore
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