Data Warehouse

Your Analysts Aren't Wrong. Your Data Model Is.

Running BI queries against your production database slows the app down for real users, and the problem compounds as the business grows. Letting teams build their own gold tables means the next board meeting will include an argument about whose revenue number is correct. We build cloud data warehouses on Snowflake, Microsoft Fabric, Azure Synapse, and Databricks: properly modelled, tuned so cost tracks actual usage, and built to be extended without a refactor every six months.

What Bad Warehouse ArchitectureActually Costs You

BI reports run against the production database. The app slows down every time someone refreshes a dashboard, and it gets worse as query volume grows.

Every team has built its own gold table. Finance, marketing, and ops quote different revenue numbers. The post-mortem is always the same.

The Snowflake or Redshift bill climbs every month. Nobody can say which queries or users are responsible

There’s no proper dimensional model. No star schema, no slowly changing dimensions, no historical tracking. Everything is a flat export from somewhere.

Analysts file a ticket for every new metric because the core model isn’t stable enough to extend on their own.

Where Are You Starting From?

BI is running against the production database and slowing down the app

Warehouse Implementation

No warehouse yet — we need the first one built properly

Warehouse Implementation

Migrating from on-prem SQL Server, Oracle, or Teradata to the cloud

Warehouse Migration

Snowflake, Redshift, or Synapse costs are climbing and we don’t know why

Warehouse Cost Optimisation

The data model is a mess, every team has their own gold tables

Dimensional Modelling and Refactor

We need historical tracking and slowly changing dimensions done properly

Temporal and SCD Design

Different teams have different revenue and customer numbers

Semantic Layer Design

Moving to a Databricks, Fabric, or Snowflake lakehouse architecture

Lakehouse Migration

What can I help with ?

What a Well-Built Warehouse Actually Delivers

Six outcomes, each passing the “buyer pictures a specific moment” test.

BI stops fighting the product for resources

BI queries stop hitting the production database. Customer-facing performance is no longer something the data team has to answer for in the standup.

Revenue is one number again

Finance and marketing stop arguing over the revenue number. The definition is written down, in the model, once, and it's the same definition for everyone.

Audits stop being a weekend scramble

An auditor asks what a customer record looked like six months ago. You pull it in under a minute, not over a weekend.

Cost stops growing on autopilot

The Snowflake bill stops growing independent of actual usage. Auto-suspend and resource monitors are part of the build, not something added when the invoice arrives.

New metrics ship in hours, not weeks

The CFO asks for a new metric on Friday. The analyst builds it by Monday because the model underneath is stable enough to extend.

The data team builds products again

The data team stops spending half the week unblocking analysts. They build data products. Analysts self-serve from a trusted model.

How We Engage

1

Discovery and audit

We start with a warehouse audit or discovery session, understanding your source systems, current model, query patterns, and what downstream consumers actually need before recommending anything.

2

Design and build in layers

We design the target architecture, agree on modelling conventions, and build in layers (staging, transformation, semantic), with cost controls, observability, and documentation included from the first commit, not optional.

3

Parallel run, cutover, and handover

We run parallel testing before cutover, migrate cleanly, and hand over with full documentation including runbooks and a clear path for extending the model without breaking what’s already there.

Every Quarter You Leave a Broken Warehouse in Place, It Costs You More

The longer your analysts work around a bad model, the more entrenched the workarounds become. Book a warehouse assessment and we’ll look at what you have before the next invoice cycle closes

Tools We Work With

Cloud Warehouses

Lakehouse Formats

Modelling & Transformation

Ingestion & Orchestration

Semantic Layer & Metrics

Legacy Sources (for migration)

FinOps & Performance

Microsoft Partner Stack

What Clients Say About Working With Exillar

Excellent work as always by Umair and team. Umair and team continue to provide excellent work product. Highly recommend, responsive and attention to detail. Umair + Exillar team continue to impress and innovate as business needs evolve

Thanks for the project. If you are an Executive, you need a PowerBI dashboard. Great working with the team. Many ongoing projects with Umair. Great person to work with.

These guys are true professionals, they helped me improve the idea of the work I wanted to develop, very kind and prepared. We will definitely do more work together. second work and I’m very statisfied

The guys were great to work with, very fast to reply and have a deep understanding of PowerBI. This become a learning experience for me as they shared best practices for PowerBI.

Thanks for the exceptional work!

It was a great experience.

Umair handled my problem timely and efficiently. He is easy to collaborate with and I will be using him again.

Super good explanation, patience and a good sense of indagatory about the data, sources, etc. The solutions suggested were very safisfactory.

It is always a pleasure to work with Umair and count on his skills to assist us. I highly recommend him. He has excellent communication skills, which makes my life much easier when conveying out needs to a plan, and executing it.

Honestly, this has been an outstanding experience from start to finish.The team went far beyond my expectations — not only did they understand a very complex real-world operation, but they were also able to translate it into a functional and well-structured system.

Working with Exillar has been amazing. Bhavisha has has gone above and beyond to get us what we need. Very pleased. ~Sherwin

It is always a pleasure to work with Umair and his team. Rock start service!

Industries We've Worked In

Got Questions?

Which platform do you recommend — Snowflake, Fabric, or Synapse?

It depends on your existing infrastructure, BI tooling, and team skills. If you’re Microsoft-heavy, Fabric or Synapse will usually win on integration and licensing. If you’re cloud-agnostic and want the most mature warehouse ecosystem, Snowflake is hard to argue against. We recommend based on your situation, not ours.

Can you take over a warehouse someone else built, or do you only do greenfield?

Both. Inheriting an existing warehouse and either extending or refactoring it is a significant part of our work. We’ll assess what’s salvageable and what needs rebuilding before we touch anything.

How do you handle the cutover from our current system?

With parallel running. We build and test the new environment alongside the existing one, validate outputs, and cut over with business agreement. We don’t flip a switch and hope.

Will this be maintainable by our team after you leave?

That’s a design constraint, not an afterthought. We write documentation, create runbooks, follow modelling conventions your team can extend, and build nothing that requires us on call permanently.

Your Analysts Aren't Wrong. Your Data Model Is.

What Bad Warehouse ArchitectureActually Costs You

Where Are You Starting From?

What a Well-Built Warehouse Actually Delivers

BI stops fighting the product for resources

Revenue is one number again

Audits stop being a weekend scramble

Cost stops growing on autopilot

New metrics ship in hours, not weeks

The data team builds products again

How We Engage

1

2

3

Every Quarter You Leave a Broken Warehouse in Place, It Costs You More

Tools We Work With

What Clients Say About Working With Exillar

D&K

Growloup

willybesmart

Darcy

Hans

Miguel

Travis

Raul Rodriguez/F&K

Alex

Latamsa

Loudermilk Homes

Alex

Industries We've Worked In

Retail & E-Commerce

Healthcare

Finance & Banking

Real Estate & Construction

IoT & Technology

Manufacturing & Industrial

Got Questions?

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