- Served as technical lead for a six-person mixed team of data engineers, platform engineers, and data analysts, setting engineering direction, assigning work, running standups, reviewing PRs, and turning unclear customer requirements into executable delivery plans.
- Wrote technical job requirements, led technical interviews as the primary engineering evaluator, and provided candidate assessments that shaped team hiring decisions.
- Mentored junior engineers in Terraform, Docker, Kubernetes, CI/CD, data engineering, and project architecture, growing them from new hires into independent contributors capable of owning delivery areas within 6-8 months.
- Stood up the project's engineering foundation from nothing: reproducible Nix developer environments, templates, reference documentation, coding standards, architecture docs, pairing practices, and a Go-based devshell/documentation search tool.
- Reduced first-day onboarding friction so new engineers could start productive project work within 30 minutes, then reach meaningful project productivity around the three-month mark.
- Led platform and data engineering for federal healthcare system supporting IHS migration from VistA/RPMS to Oracle Health, transforming legacy data into FHIR R4 resources and Oracle Cerner CSV outputs.
- Architected medallion-pattern (Bronze/Silver/Gold) ETL pipelines processing 100M+ patient records across 1,000+ tables using Python, PySpark, and a Nix-based build system on Azure Synapse Analytics.
- Built config-driven data platform generating 880+ Nix packages from declarative table configurations, enabling standardized transformations across 1,000+ datasets with 98.4% coverage.
- Achieved 100% FHIR R4 validation across all clinical domains (demographics, vitals, labs, conditions, medications, immunizations, procedures, encounters, orders, documents) with dual tribal coding for IHS-specific requirements.
- Developed streaming-mode processing for large fact tables (9.7M+ rows per table), and dual-output architecture generating both CSV and FHIR Bundle outputs from single pipeline runs.
- Owned architecture for the Cerner Data Syndication pipeline, including Go bundle processing, Azure landing and extracted containers, Event Grid, Storage Queue, Container Apps Jobs, KEDA scaling, and Terraform-managed deployment modules.
- Created FHIR validation tooling processing ~40,000 JSON records in ~15 minutes; built Python fuzzy-matching field mappers, US Core profile skeleton generators, and Pydantic model extensions.
- Built reproducible Nix-based developer platform reducing onboarding time to under 10 minutes and ensuring parity between local development and CI environments.
- Moved the effort from blocked requirements, missing environments, and undefined architecture into sustained delivery by creating the technical foundation and upskilling the team around it.
- Built comprehensive security scanning suite: Trivy, govulncheck, Semgrep, Gitleaks, sbomnix SBOM generation — with SARIF output for GitHub Security integration and automated compliance reporting.
- Designed and maintained GitLab CI/CD pipelines with reusable templates, automated STIG scanning, and standardized deployment patterns across multiple teams.
- Designed and operated internal platform engineering capabilities including CI/CD systems, reproducible development environments (Nix), and standardized deployment patterns across teams.
- Built AWS GovCloud infrastructure using Terraform (EC2, IAM, EBS, RDS, AMIs, ACM); created automated OpenVPN deployment with Ansible.
- Implemented HashiCorp Vault for secrets management including disaster recovery tooling (Python export/comparison scripts); deployed containerized applications in Kubernetes using Helm.
- Built Nix devshell for Platform One Big Bang (DoD Kubernetes distribution) wrapping bbctl, Helm, k3d, kubectl, and kustomize into a reproducible environment.
- Contributed to Cyclops platform (ATA's streaming analytics / MLOps / data fabric): Nix dev environment, k3d local Kubernetes, Traefik routing, Keycloak/Grafana ingress.
- Built missile launch data generators and AIS vessel data pipelines for MDA Spot-Lyt defense simulation platform using Kafka and Flink streaming analytics.
- Developed NIST 800-53 Rev 5 compliance analysis tool in Python — cross-references control catalogs with program-specific requirements for automated assessment.
- Mentored team members on DevOps best practices; created documentation, reference implementations, and Nix flake templates to support org-wide adoption.