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Data Engineering

The data foundation AI actually runs on.

Multi-source ingest, transformation orchestration, and warehouse modeling — the data plumbing that turns messy operational data into AI-ready foundations.

We build the unglamorous foundation other teams skip — so your analytics and AI stop fighting the plumbing and start trusting the numbers.

The work

Data Warehousing & Pipelines

Every AI project eventually hits the same wall: the data is scattered, inconsistent, and not modeled for the question being asked. The unglamorous work of data engineering is what makes everything above it possible.

We build the foundation — multi-source ingest and change-data-capture, transformation orchestration with lineage, and a well-modeled, governed warehouse that your analytics and AI can both trust.

What we deliver

Scoped, shipped, and supported.

Multi-source ingest & CDC

Reliable pipelines that pull from every system you run, including change-data-capture for near-real-time freshness.

Transformation & lineage

Orchestrated transformations with full lineage, so you can trace any number back to its source.

Warehouse design & governance

A modeled, documented warehouse with access controls and governance built in.

AI-ready foundations

Data shaped for retrieval, training, and analytics — so the layers above don't fight the plumbing.

Typical stack
  • Microsoft Fabric
  • dbt
  • Airflow / orchestration
  • Snowflake / BigQuery
  • CDC tooling
Related work
Education · Khaitan

Unified academic data warehouse

Turning fragmented academic data into one operational source of truth — the warehouse behind the dashboards and reporting.

Read the case study
FAQ

Questions we get a lot.

Our data is messy — can you still help?

That's the normal starting point. We handle multi-source ingest, cleaning, and modeling so messy operational data becomes an AI- and analytics-ready foundation.

Which warehouse should we use?

We work across Microsoft Fabric, Snowflake, BigQuery, and others, and recommend based on your existing stack, scale, and budget rather than a one-size default.

How do you handle governance and access?

Lineage, access controls, and documentation are built into the warehouse design, so you can trace any number to its source and control who sees what.

Let's build

Let's build what's next — together.

Whether you have a brief or just an idea, we'll help you scope a path from concept to production — with compliance built in.

Schedule a discovery call