StreamLine Data Consulting builds and operates the streaming pipelines, lakehouse platforms, and AI/ML data infrastructure that federal agencies and Fortune 100 enterprises rely on. Senior engineering judgment, delivered hands-on by the founder — no offshore handoff, no junior bench, no surprises.
Specialized practice areas across streaming, cloud-native data platforms, and AI/ML infrastructure. Every engagement is owned end-to-end — architecture, build, deploy, and operate — by the same senior engineer who designed it.
Streaming pipelines that move and transform data with sub-second latency in regulated, mission-critical environments.
Lakehouse and warehouse architectures on AWS, Azure, and hybrid environments — modernized, secure, cost-aware.
The data layer that powers production AI systems — engineered for reliability, observability, and audit-readiness.
Migrate legacy ETL and batch workloads to modern, scalable, cloud-native architectures without breaking the business.
Audit-ready data systems for regulated industries and federal customers handling sensitive or controlled information.
Senior engineering judgment for teams making architectural decisions with multi-year consequences and seven-figure stakes.
Production fluency across the tools that matter for streaming, cloud-native data platforms, and AI/ML systems. Founder credentials verified through industry certifications.
Over a decade of production data engineering across some of the most operationally demanding companies in financial services and automotive. References available on request.
Architected and shipped real-time streaming data infrastructure for the mortgage origination platform. Built Kafka + Flink pipelines from blank slate to production, supporting customer-facing decisioning with sub-second data freshness.
Engineered enterprise data platform components for connected-vehicle and manufacturing data systems. Designed scalable pipelines integrating IoT telemetry, plant-floor signals, and downstream analytics for cross-functional engineering teams.
Built financial data pipelines and contributed to cloud migration efforts within a tightly regulated environment. Delivered audit-ready ETL workflows with strict data governance, lineage, and compliance requirements.
Built risk and analytics data infrastructure supporting private banking and wealth management lines of business. Delivered reliable data pipelines for risk reporting, portfolio analytics, and regulatory submissions.
No layers of project managers. No bait-and-switch from senior pitch to junior delivery. The engineer who designs your system is the engineer who builds and operates it.
You work directly with the founding engineer — a decade of production data systems experience across regulated industries. No handoff to junior offshore teams.
Specialized in the operationally hardest corner of data engineering. Built Kafka + Flink streaming pipelines from blank slate to production at Fortune 100 scale.
We don't just build data pipelines — we build the data infrastructure that powers AI systems. Embedding pipelines, RAG retrieval, vector stores, evaluation frameworks.
U.S. Army veteran founder. Delivery discipline, security mindset, and accountability to mission — applied to every engagement, federal or commercial.
Registered on SAM.gov. SBA VetCert application in process. NAICS-aligned across 541511, 541512, 541519, 518210, 541611, and 541690.
AWS Certified Data Engineer. Production experience across the tools vendors over-promise on — and clarity on which ones are worth the spend.
StreamLine Data Consulting was founded on the conviction that mission-critical data systems deserve mission-critical engineering — delivered by people who have actually shipped them.
StreamLine Data Consulting LLC was founded after a decade of building production data systems for some of the most demanding enterprise environments in the United States — Fortune 100 banks, automotive primes, and high-throughput financial services platforms.
The firm specializes in the operationally hardest corner of the field: real-time streaming data systems running 24/7 in regulated industries, where downtime and data loss are not options. The founder has architected and shipped end-to-end Kafka + Flink streaming infrastructure from blank slate to production scale, owning every layer of the stack personally.
Following service in the U.S. Army, the founder established StreamLine specifically to bring that enterprise-grade engineering rigor to federal data modernization efforts — where mission-critical outcomes, security accountability, and long-term system stewardship matter most. The firm is built on the conviction that contracting agencies deserve the same seriousness of engineering that Fortune 100 enterprises pay top dollar for.
For capability statement requests, contracting officer inquiries, teaming opportunities, or general questions — reach out directly. Every email is read and answered by the founder.