Senior engineers for consulting firms and enterprise teams that can't afford a learning curve.
AWS
Microsoft Azure
Google Cloud
Databricks
Snowflake
dbt
Microsoft Fabric
Confluent
From lakehouse architecture to AI applications, we cover the full lifecycle. Five service lines, one team.
Production-grade lakehouse and warehouse builds on Databricks, Snowflake, and Microsoft Fabric — from ingestion to consumption.
View service →Quality, lineage, access, and observability that holds production data accountable. The trust layer for everything downstream.
View service →Software-engineering rigor for data and AI systems. Versioned pipelines, automated tests, repeatable deploys.
View service →Models, copilots, and the user-facing applications that put predictions and decisions in front of the people who act on them.
View service →We support data initiatives across industries that depend on real-time decisions.
Operations, ticketing, fan engagement, and venue analytics — turning operational signal into real-time business insight.
Extending the delivery capacity of consulting firms on Databricks, Snowflake, and modernization engagements.
Enterprise data platforms supporting supply chain, risk, customer 360, and operational analytics use cases.
Data and AI work spans engineering, operations, governance, and application. We deliver across all four — no handoffs, no gaps.
We build the data platforms and ML systems that turn raw input into reliable signal — lakehouse, warehouse, ingestion, transformation, model training.
We make production reliable. Observability, SLAs, incident response — the day-2 work that keeps systems running when nobody's watching.
Access, lineage, quality, and compliance. The trust layer that makes data usable across teams without becoming a risk.
Models and dashboards alone don't change behavior. We ship the applications that put insights in front of the decision-makers.
Whether you need a single senior engineer or a full delivery pod, we can mobilize quickly.
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