Summary
Amanda Te is a Data Engineer II with nine years of hands-on experience building data-intensive systems and full-stack features for finance and SaaS platforms. Currently at Addepar, she brings prior experience architecting microservices, Kafka-based ingestion pipelines, and Spark jobs at American Express and developing rich document tooling at Workiva. A UC Berkeley graduate in Applied Math, Computer Science, and Data Science, she pairs strong engineering fundamentals with practical product instincts from roles spanning internships to content strategy. Amanda is also an advocate for widening STEM access for underrepresented groups, having taught Python to high school students and led campus outreach initiatives. She combines production-scale data engineering skills with a creative streak—designing brand assets and marketing campaigns earlier in her career—making her an engineer who thinks across technical and human-centered dimensions.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Applied Mathematics, Computer Science, and Data Science, Bachelor's degree, Applied Mathematics, Computer Science, and Data Science at University of California, Berkeley
Chino High School
English, Khmer, Spanish