Ray Walker

Lead, Analytics Application Engineer

Launceston, Tasmania, Australia
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Ray Walker is a lead analytics application engineer with 12 years of experience building cloud-native data platforms and AI-enabled solutions, currently leading analytics engineering at Bain & Company from Tasmania. He combines hands-on infrastructure and application engineering—spanning serverless, Kubernetes, Terraform/Terragrunt, Python and React—with product-minded platform architecture for healthcare and non-profit domains where privacy, compliance and event-driven design matter. Previously he led Greenpeace’s serverless data platform and architected a global healthcare ingestion and governance product at Max Kelsen, integrating FHIR, DICOMweb and Vertex AI into secure, continuously delivered pipelines. A serial autodidact who enjoys “throwing things at clouds,” Ray brings practical DevOps craftsmanship and fast-feedback security tooling to distributed teams while still maintaining a legacy hosting practice that keeps him grounded in operations.
code13 years of coding experience
job10 years of employment as a software developer
bookUniversity of Tasmania
bookLaunceston College
github-logo-circle

Github Skills (200)

postgresql10
reverse-proxy10
proxy10
zookeeper10
docker-desktop10
consul10
letsencrypt10
charts10
wordpress10
docker-compose10
magento10
planet10
helm10
golang10
kubernetes10

Programming languages (20)

C#PowerShellSmartyCSSC++CMakefileVue

Github contributions (5)

github-logo-circle
greenpeace/planet4-circleci

Oct 2017 - Apr 2022

Planet 4 Container for running our CI operations
Contributions:1 release, 2 reviews, 25 PRs in 4 years 6 months
containersplanetdevopsdockercircleci
cachekit-io/cachekit-py

Dec 2025 - Jul 2026

Backend-agnostic caching for Python — intent-based decorators with circuit breaker, distributed locking, Prometheus metrics, and optional zero-knowledge AES-256-GCM encryption, on a Rust-powered core. Zero-config L1 in-memory; scales to Redis, Memcached, File, or CacheKit Cloud.
Contributions:48 PRs, 176 pushes, 86 branches in 7 months
aesbackendcachingdecoratorsdistributed-locking
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial