Data & Analytics

From data gravity to decision velocity.

We build the lakehouse foundations, streaming pipelines and governed semantic layers that let an enterprise act on what it already knows — in seconds.

Capabilities

What we build and run

Lakehouse Foundations

Medallion architectures on Databricks or Snowflake with cost-aware storage and compute design.

Streaming & Real-Time

Event pipelines that move operational signal from source to decision in under a second.

Data Governance

Lineage, cataloguing, quality contracts and access control that satisfy audit without slowing teams.

Semantic & Metrics Layer

One definition per metric, versioned in code, so the board sees a number everyone trusts.

Decision Intelligence

Forecasting, demand sensing and optimization models embedded into operational workflows.

MLOps

Feature stores, model registries, drift monitoring and automated retraining pipelines.

Outcomes

Signals that the work landed

< 1s

Query latency on billion-row operational marts

$14M

Annual inventory carry reduction at a global manufacturer

98.6%

Data quality contract pass rate across managed pipelines

Engineering Stack

Tools we hold to a standard

DatabricksSnowflakedbtApache SparkKafkaAirflowDelta LakePower BILookerPythonMLflowGreat Expectations
How we engage

A path with no hidden handoffs

Step 01.Data estate assessment: sources, gravity, quality debt and consumption patterns.

Step 02.Reference architecture plus a first high-value use case chosen for measurable payback.

Step 03.Pipeline and semantic layer build with quality contracts enforced in CI.

Step 04.Managed operations with cost telemetry, drift monitoring and quarterly value review.

Ready to architect your intelligent enterprise?

Bring us your hardest constraint. We will return an architecture, a delivery plan and the team to execute it.