Platform Architecture
End-to-end design from discovery through roadmap to execution. Data lakes, warehouses, and hybrid architectures tailored to your scale, compliance needs, and team capabilities.
Strategic advisory and hands-on delivery. Data pipelines, event-driven systems, and analytics platforms on AWS, GCP, and Kubernetes.
End-to-end design from discovery through roadmap to execution. Data lakes, warehouses, and hybrid architectures tailored to your scale, compliance needs, and team capabilities.
Robust data pipelines with Airflow, Argo Workflows, and custom orchestration. dbt transformations, data quality frameworks, and containerized workflows that scale.
Real-time streaming and event-driven systems with NATS, Kafka, and custom collectors. Telemetry platforms, IoT ingestion, and high-throughput message processing.
Self-service BI, A/B and multivariate testing platforms, ML pipelines, and predictive models. From dashboards to AI-powered analytics and agentic workflows.
Terraform, Pulumi, and Kubernetes-native deployments. GitOps workflows, reproducible infrastructure, and platform engineering for cloud and on-premise environments.
Building and mentoring data teams—from BI analysts to data engineers to platform specialists. Engineering practices, governance frameworks, and organizational design for data-driven companies.
Long-term partnership building and evolving a full-scale data platform powering growth, analytics, and finance functions. In-house marketing tech stack with A/B and multivariate testing, self-service BI, and dozens of integrations to analytics and martech providers.
Built a complete telemetry solution from ground up—scalable event collector infrastructure, real-time data pipelines, and analytics layer. Enabling real-time production steering, reporting dashboards, and cross-functional analytics for finance and HR.
Designed and implemented an event-driven architecture for industrial telemetry—high-throughput message streaming, real-time processing, and durable event storage. Built for reliability and scale in demanding operational environments.
Architected a high-security data lake for medical device classification workloads. Kubernetes-native infrastructure with strict compliance controls, audit logging, and encryption—meeting the rigorous standards required for clinical and diagnostic applications.
Data pipeline development for a marketing technology provider processing data from hundreds of millions of end-user devices. Massive data volumes in the petabyte range, requiring careful orchestration, cost optimization, and robust monitoring.
"The best data platforms grow with you. We build for today's needs with tomorrow's scale in mind—then stay to help you get there."
Every engagement starts with understanding—your data landscape, organizational constraints, team capabilities, and what success actually looks like. Strategy before execution.
From architecture to production. We don't hand over diagrams and walk away—we build infrastructure, pipelines, and services, then help your team take ownership.
Our longest client relationships span 7+ years. We invest in understanding your business deeply and evolve your platform as your needs grow and change.
Platforms need people. We help develop engineering practices, mentor analysts and engineers, and build the organizational capability to sustain and extend what we create together. and continuous improvement practices from day one.
Whether you're planning a new platform, scaling existing infrastructure, or need expert guidance on a specific challenge—we're here to help.
We typically respond within 24 hours.