Consulting
Data Engineering & Analytics
Reliable data, ready for decisions and for AI.
Talk about your dataAt a glance
Challenge, approach, outcome.
The challenge
Data sits in disconnected systems, reports disagree, and AI projects stall because the underlying data isn't trusted.
Our approach
We build pipelines and a modern data platform, put quality checks and governance in place, and deliver dashboards around the decisions people actually make.
The outcome
One trusted version of key data, reporting teams act on, and a foundation ready for AI.
What we solve
Sound familiar?
Data sits in silos and is not ready for AI.
Reports are slow, manual or not trusted.
Two reports give two different answers to the same question.
Leaders cannot get a reliable view of how the business is running.
What we deliver
Data Engineering & Analytics, end to end.
Data foundations
A modern data platform on Databricks, Snowflake or your cloud.
Data pipelines
Reliable pipelines that bring data together from your systems.
Data governance & quality
Quality checks, ownership and access rules for key data.
Analytics & BI
Dashboards and reports that leaders actually use.
MLOps & model data
Versioning, testing and monitoring for the data and models in production.
Put the data to work
Ready to use your data with AI agents and automation?
See AI & Intelligent Automation
How we deliver
Four phases. Clear deliverables at each.
Phase 1: Assess
Review data sources, reports and the decisions they support.
Deliverables
Data landscape and prioritized use cases
Phase 2: Design
Target data platform, data model and governance.
Deliverables
Architecture and data model
Phase 3: Build
Pipelines, platform and dashboards, delivered in stages.
Deliverables
Working pipelines and dashboards
Phase 4: Run & hand over
Monitoring, quality checks and team enablement.
Deliverables
Runbooks, quality reports and a trained team
Technology
Technology we work with.
- Databricks
- Snowflake
- dbt
- Apache Spark
- Python
- MLflow
- Power BI
- Tableau
- PostgreSQL
- SQL Server
Ways to engage
Start where it makes sense.
Assessment
A focused, fixed-scope starting point that ends in a clear plan.
Project delivery
We own the outcome from design to go-live.
Dedicated team
A TMT pod working inside your team, on your priorities.
Specialist talent
Individual specialists through our staffing team.
Explore talent
FAQ
Questions clients ask.
Where do we start?
With a short data assessment around one set of decisions, so the first pipelines and dashboards deliver value before scaling further.
Can you work alongside our team?
Yes. Most engagements mix our engineers with yours, and we hand over fully at the end, with documentation and knowledge transfer.
How is delivery staffed?
A US-based lead with a delivery team in India, so work continues across time zones.
Who owns what we build?
You do: code, infrastructure definitions and documentation.
Do we need a new data platform?
Not always. We often build on the platform you already have, and recommend a new one only when it clearly pays off.
Let’s connect
Have a challenge worth solving?
Let’s explore how TMT can help you turn possibility into progress.