Dominick Ryan

Dominick Ryan

Senior Systems & Data Architect

I bridge the gap between complex legacy infrastructure and modern data lakehouse architectures. My work focuses on the engineering requirements of data gravity—ensuring that underlying systems (compute, storage, and networking) are architected specifically to support high-throughput, reliable data transformations.

Infrastructure & Systems Strategy

I specialize in the design and management of high-concurrency environments, ensuring that infrastructure is a performance enabler rather than a bottleneck.

  • Hybrid Cloud Orchestration: Expert-level administration of Azure and on-prem VMware/Hyper-V environments. This includes architecting Azure Virtual Desktop (AVD) for secure data access and managing complex identity lifecycles via Entra ID.
  • Performance Engineering: I specialize in removing compute bottlenecks by offloading CPU-bound workloads to GPU-accelerated processing (CUDA/RAPIDS), achieving measured 70x speedups in data processing latency.
  • Observability & Telemetry: I engineered a high-availability monitoring platform integrating real-time telemetry from 2,000+ distributed devices, providing sub-second support desk metrics and 24/7 infrastructure health visibility.

Data Architecture & Engineering

I treat data as a distributed systems product, focusing on reliability and strictly typed lineages.

  • Lakehouse Implementation: I architect end-to-end data lifecycles using the Medallion Architecture (Bronze/Silver/Gold) on Microsoft Fabric, Databricks, and Snowflake.
  • Modern Orchestration: I utilize Dagster for software-defined orchestration, implementing event-driven pipelines that prioritize data quality and idempotent processing.
  • Systems Reliability: My background in systems allows me to implement Event-Driven Microservices as the backbone for real-time data services, ensuring pipelines are as resilient as the infrastructure they run on.

High-Compliance Industry Impact

My career is defined by solving bottlenecks in regulated environments where technical reliability directly impacts financial outcomes.

  • Healthcare Revenue Optimization: I have a proven track record of re-engineering legacy EDI transaction pipelines for LHCSAs to resolve stalled revenue cycles and migrating fragmented on-prem SQL environments to modern FHIR-compliant cloud architectures.
  • Technical Documentation: This site, NextValData.com, serves as a repository for my deep dives into CRISPR data pipelines (processing 21M+ rows via DuckDB) and emerging patterns in the Python ecosystem, including uv, Polars, and Ruff.

Literary Interests

I am a sophisticate when it comes to literature, enjoying great works by the likes of Stoppard and Vonnegut and the venerable Matt Dinniman who writes The Dungeon Crawler Carl series.