Building robust data pipelines, automating everything I reasonably can, and running a fleet of self-hosted services to keep my ops skills sharp. I care about clean engineering, observability, and secure, scalable cloud-native systems.

🌱 Currently exploring: agentic AI workflows & AI-assisted engineering

🛠️ Data Engineering & Cloud Snowflake — procedures, SDKs, perf tuning, Liquibase CI/CD dbt — data modeling & testing on Snowflake AWS — S3, Lambda, SNS, IAM, Secrets Manager, CloudFormation Apache Airflow — ETL orchestration, Dockerized DAGs SQL · Python — analytics, data-quality checks, automation GitHub Actions · Docker — CI/CD & reproducible environments 📊 Analytics & Front-End Tableau — trusted-ticket auth, parameter automation Angular · Node.js — Tableau embedding, Express APIs, JWT Grafana · Graylog — metrics & centralized logging 🏠 Self-Hosted Homelab ~40 containerized services · Docker + Traefik + Authelia SSO Custom observability dashboard (SvelteKit + FastAPI) ZFS / BTRFS · scripted auto-updates · ops bots

fda-recall-dashboard — an end-to-end FDA drug-recall data pipeline & dashboard: Airflow DAGs ingest and clean public FDA data → PostgreSQL → Superset visualizations. Dockerized. Python · Airflow · PostgreSQL · Superset

flowchart LR
    NET([🌐 Internet]) --> TR[Traefik<br/>Reverse Proxy]
    TR --> AU[Authelia<br/>SSO + 2FA]
    AU --> APP[Web Apps]
    AU --> MON[Monitoring<br/>& Uptime]
    AU --> AUTO[Automation<br/>& Ops Bots]
    APP --> DB[(PostgreSQL<br/>Redis)]
    AUTO --> DB
    APP --> ST[(ZFS / BTRFS<br/>Storage)]
    MON --> ST
    AUTO --> ST

• 🏠 I self-host almost everything — if it can run in a container, it probably is.
• 📈 Obsessed with metrics — if it can be graphed, it's going to Grafana.
• 🐧 Daily-drive Linux (Ubuntu / Alpine); love tinkering with ZFS & BTRFS.
• 🔐 Big on secure pipelines — encryption, secrets management, and IAM done right.
• 🎮 Occasional detour into gaming & retro consoles.