Data Engineering & Applied ML Consulting
Prometheus Consulting LLC designs and delivers large-scale data platforms, cloud migrations, and applied ML systems — across financial services, healthcare, and the public sector.
Start a conversationCapabilities
End-to-end delivery across the modern data stack — architecture, implementation, and the applied ML layer on top.
Scalable pipeline design and implementation. Batch and streaming workflows, data modeling, orchestration, and the plumbing that keeps everything reliable at scale.
Graph-based entity matching and deduplication powered by deep machine learning — including Graph Neural Networks (GNNs). Production-grade systems that surface the single coherent record hidden across fragmented, noisy sources.
Designing and deploying graph databases that model your domain with precision — schema design, query optimization, and integration into broader data systems.
Production machine learning — from feature engineering and model development through deployment and monitoring. Applied AI that actually ships.
Full-stack Snowflake engagements: warehouse architecture, cost optimization, access control, and migrating existing systems to the platform with zero disruption.
Enterprise systems consulting for organizations moving to AWS — lift-and-shift, re-architecture, and the governance layer that makes cloud infrastructure sustainable long-term.
How We Work
Prometheus Consulting delivers senior-level architecture and implementation — without the overhead of a large firm and without handing your engagement off to junior staff.
What sets us apart
Most data consulting engagements follow the same pattern: a senior architect sells the work, then disappears. Prometheus Consulting is structured differently — you get senior-level expertise on the actual delivery, not just the proposal.
We work best with organizations that have a real problem to solve: a platform that needs to scale, a migration that has to land cleanly, an identity problem that off-the-shelf tools haven't cracked, or a data architecture that needs to support ML and analytics at the same time.
Engagements range from focused architecture reviews to full-cycle delivery. We bring the same rigor to a two-week assessment as to a multi-year platform build.
Selected Engagements
A sample of what we've delivered — the kinds of problems we exist to solve.
The Child Care Financial Assistance platform had failed three times before we were brought in. We designed the system architecture from the ground up and led delivery to a successful launch at $500M — a program that has since grown to $1.2B annually, running on the foundation we built.
Primary architect for data platforms, Snowflake infrastructure, and core system architecture in a transformation that migrated 130+ applications and an entire data center to AWS in a single coordinated cutover.
Read the case study: "How Massachusetts Went 'All In' on Cloud Modernization" →A large organization with data spread across incompatible legacy systems needed reliable entity resolution at scale. We designed and delivered a cloud-native MDM platform — replacing brittle manual processes with automated, auditable identity matching across every source system.
Fixed-income pricing, risk modeling, and bond analytics systems built for regulated environments where numerical correctness isn't a preference — it's a requirement. Deep experience with high-accuracy, auditable data systems informs how we approach every platform we build.
Contact
Reach out to discuss your project — we respond within one business day.