Ryan Greenup

Full-stack software and data engineer who ships production systems with measurable financial impact: ETL pipelines, analytics dashboards, Kubernetes clusters, and multi-brand client frontends. I care about correctness, legible systems, and infrastructure other engineers are glad to inherit.

1. Feb 2026 to PresentNow

   Software Engineer

   We Are Impress - Melbourne

   • Full ownership of production infrastructure spanning AWS EC2 (RHEL) and DigitalOcean Kubernetes clusters: GitOps via Flux, Traefik ingress with Let's Encrypt, Authelia SSO, SOPS-managed secrets, and OpenTofu provisioning
   • Deliver frontend work across client engagements including National Intermodal, the SunRice brand family (5 regional sites across AU, US & NZ), Ratch Australia and Stone & Chalk
   • Build internal diagnostics tooling combining the TypeScript compiler API, oxlint, and a codegraph index with PageRank to surface the most actionable error first
   • Develop a JSX-to-IR transformer package used across the agency component pipeline
2. 2025 to 2026Contract

   Contract Software Engineer

   CCAFP - Melbourne

   • Designed and deployed an LLM-automated superannuation application: SolidJS + Tailwind SPA backed by PostgreSQL, serving financial planning workflows end to end
   • Integrated AWS Bedrock as the inference layer to automate superannuation assessment and reduce manual case handling
   • Deployed to Kubernetes with Flux GitOps: manifests, secrets, and rollouts through version-controlled configuration
   • Mentored a junior developer through the full build cycle, reviewing code and transferring stack knowledge at each stage
3. Nov 2024 to Feb 2026

   Lead Developer · Full-Stack Data Engineer

   Gforce Category Solutions - Melbourne

   • Architected, provisiooned and deployed a PostgreSQL data pipeline to automate weekly client reporting, reducing workload by easily 30 hours per week per office
   • Negotiated terms for DynamoDB to PostgreSQL integration, gaining access to years of historical data (and negotiated a 50% reduction on fees)
   • Imported 10 years of heterogeneous text based historical merchandising data with python + duckdb scripts, tests, and validation logic
   • Designed a playwright based scraper and docker service as an ETL pipeline, deployed to EC2
   • Built and deployed an analytics dashboard with authentication from scratch on top of the ETL pipeline
   • Trained and deployed a CNN for automatic image classification, blocking images before they hit the client and flagging duplicate & fraudulent images
   • Designed and Implemented CDC pipelines using ClickHouse and DuckDB via S3 as a data lake
   • Hardened deployment with rootless Podman Quadlets, Caddy, and Wireguard VPN

• BSc Research (Machine Learning)Western Sydney University2020
• BSc Data ScienceWestern Sydney University2020
• BSc MathematicsWestern Sydney University2020