William Elliott
@williamelliott2
Staff Software Engineer specializing in scalable data platforms and AI/ML integrations.
United StatesWhat I'm looking for
I am a Staff Software Engineer with deep experience building secure, scalable data platforms and AI/ML integrations for enterprise healthcare and SaaS customers.
At Snowflake I designed and built a Data Cloud platform supporting high-throughput pipelines and real-time sharing across 500+ organizations, contributing to 20% annual revenue growth and reducing processing time by 60%.
I have engineered backend microservice architectures (Python, Django, Celery), RESTful and GraphQL APIs, and component-driven front-ends (React, TypeScript), while managing cloud infrastructure with AWS, Kubernetes, and Terraform to ensure resilience and compliance.
I mentor engineers, drive best practices in distributed systems and secure coding, and focus on delivering measurable business impact—performance improvements, cost savings, and faster release cycles—across clinical, engineering, and operations teams.
Experience
Work history, roles, and key accomplishments
SNDesigned and built a secure, scalable Data Cloud platform and backend microservices that supported real-time data ingestion and ML integration, reducing processing time by 60% and contributing to 20% annual revenue growth across 500+ organizations.
UGSenior Software Engineer
UnitedHealth Group
Mar 2014 - May 2017 (3 years 2 months)
Designed and developed HIPAA-compliant backend microservices and front-end dashboards for Optum Claims Manager, improving claims adjudication performance by 22% and delivering $3.1M annual cost savings.
SHDeveloped backend services and front-end features for Shopify’s core e-commerce platform, contributing to scalable order processing for 1M+ merchants and a 12% increase in conversion rates.
Education
Degrees, certifications, and relevant coursework
CTCalifornia Institute of Technology
Bachelor of Computer Science, Computer Science
2007 - 2011
Completed a Bachelor of Computer Science focusing on core computer science principles, software engineering, and systems design from 2007 to 2011.
Tech stack
Software and tools used professionally
Google Tag Manager
Postman
Apache Spark
Blockchain
D3.js
Chart.js
Google Cloud Platform
GitHub
GitLab
Bitbucket
Kubernetes
Jenkins
GitHub Actions
React Native
dbt
MySQL
PostgreSQL
MongoDB
Cassandra
Shopify
Gmail
Node.js
Django
Laravel
Spring Boot
Ruby on Rails
Next.js
Tailwind CSS
Material-UI
three.js
Unreal Engine
Google Analytics
Figma
Terraform
Jira
styled-components
Vue.js
Svelte
React Query
Webpack
JavaScript
Java
PHP
Kotlin
TensorFlow
PyTorch
scikit-learn
Google Maps
Mapbox
RabbitMQ
MQTT
FastAPI
PagerDuty
Grafana
Prometheus
Linux
Datadog
Apollo
GraphQL
gRPC
Elasticsearch
Spring Security
AWS Lambda
Serverless
Zustand
pytest
WebRTC
Formik
Airflow
Apache Beam
SQL
Core Data
CakePHP
Hugging Face
AWS KMS
Supabase
LangChain
Weaviate
Playwright
Pinecone
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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