Elizabeth Yang
Engineering Manager in San Francisco, She/her
Work Experience
February 2022 - present
Member Trust Team (Team Lead)
Our team's mission is to support and create a safe and secure banking experience for our users. We build tooling for and integrations with several third party vendors to help our Customer Support, Fraud, and Legal/Compliance teams.
Recent projects by our team:
- Implemented views for our Customer Support Team and Fraud Team to enable them to catch fraudsters faster and record fraud cases more conveniently
- Vendor integrations for gather information on device intelligence, user PII history, and user verification (ie scanning IDs)
- Built out various fraud defense mechanisms (transfer and spending limits, fraudulent institutions, etc...)
Product Engineering On-call Revamp
- Overhauled outdated product engineering on-call process and worked with various product teams and Customer Support team to build out new system
March 2021 - February 2022
Spending + Bills/Banking team (IC to Tech Lead)
- Led a project team of two to three engineers to allow customers to connect/remove multiple external checking accounts in-app
- Led a project team of two engineers to implement card-locking functionality within the Digit mobile app
- Helped build out a service that performs daily transaction and balance reconciliation, and am leading the work now to enable one-off reconciliations as well
Other:
- Led a company initiative to use Donut to help new hires feel more connected to one another during the pandemic, as well as an engineering initiative to start using an internal Stack Overflow to improve knowledge sharing within the organization
Sept 17, 2019 - March 2021
Core Platform team
• Designed and built platform for ingesting transaction data via webhooks from partner API
• Helped build out a platform that serves as a source of truth for accounts, users, and transactions data
• Implemented permissions level enforcing for various internal services in preparation of PCI audits
• Migrated platform services from ECS to k8s
Languages Used: JS, Golang, PostgreSQL
June 17, 2019 - September 3, 2019
• Helping brands advertise on social media platforms by building data pipelines for
analysis and modeling using Spark
• Orchestrating workflows via Airflow to accommodate a range of large data-sets from
clients and partners
• Designing, implementing, and operating comprehensive data warehouse systems in
AWS to balance optimization of data access
• Built batch and streaming data pipelines using Scio and Apache Beam frameworks to process high volume of users' shopping data in Google Cloud Dataflow
• Used Airflow regularly to construct, schedule, amd monitor workflows
• Implemented various different internal API services using Flask and Node.js to expose data for feature teams
Languages Used: Scala, Python, JS
4 Month Internship
• Built event ratings feature using Django that incorporated user feedback data to be used to create a predictions model
Languages Used: Python, SQL