SQL Server, Fabric, Azure and Databricks work, delivered by people who have kept these systems running in production.
A platform built to be handed over: versioned, tested, and documented.
Refreshes that overrun the window, numbers that disagree between two dashboards, a package nobody dares touch since the person who wrote it left. Those are symptoms. The cause usually sits in the model, the pipeline, or the way the platform was stitched together under time pressure.
Bytewave fixes the layer underneath, then makes the reporting boring again.
What we do
Dimensional models that hold up as the business changes, query performance work on SQL Server, and warehouses that can be explained to an auditor.
Lakehouse and warehouse workloads in Fabric, semantic models with row level security, and reports that refresh on time.
On premises to Azure, in stages you can stop and resume. Serverless where it saves money, reserved where it does not.
Databricks and Snowflake builds, Python transformation layers, and ETL that is tested rather than trusted.
Forecasting, classification and document extraction, put next to the data rather than in a notebook on someone's laptop.
We move one workload at a time, with the old system still running, so there is always a way back. Nothing gets switched off until the replacement has matched it for a full cycle.
Where teams usually start
Where you end up
Short and specific to begin with. You should know whether we are worth keeping before you have spent much.
Two weeks in your environment. We read the packages, profile the data, time the refreshes, and come back with what is actually wrong and what it will cost to fix.
One real workload, end to end, in the target architecture. Not a slide, not a demo dataset. Your data, your numbers, reconciled against the current system.
The rest of the platform in increments, each one deployed through the same pipeline, each one reviewed with your team rather than presented to them.
Documentation your team can follow, a runbook for the things that break at 2am, and enough pairing that nobody is left holding a system they do not understand.
A slow refresh, a migration that stalled, a report nobody trusts. Describe it in a paragraph and you will get an honest answer about whether we can help.