Broadwing
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WHAT WE DO / DATA

Data.

Decisions are only as good as the data behind them. We build pipelines and platforms your analysts can trust.

PIPELINES WAREHOUSES & LAKES ANALYTICS PLATFORMS DATA OPERATIONS
Data engineering is trust engineering.

Broadwing builds and operates the systems that move your data: ingestion pipelines, warehouses and lakes, and the analytics platforms your teams report from. We work across cloud data stacks — from pipeline orchestration and warehouse modeling to the identity and access layer that governs who sees what.

Most data problems surface as trust problems. Dashboards disagree with each other. Analysts export to spreadsheets because the warehouse is a month behind. A migration to a modern analytics platform stalls because authentication breaks between the identity provider and the new services. We've fixed exactly these — including a phased cloud analytics migration for a global technology company that cut authentication issues by 80% with no major incidents.

The engineers who scope your data engagement are the ones who build it — and the goal is a platform your own team operates confidently after we leave.

THE PROBLEM
Your teams make decisions on data they don't fully trust.
Pipelines fail silently. Reports disagree. The warehouse lags reality by weeks. Every question ends with "let me check with the data team" — and the data team is underwater.
HOW WE HELP
01
Assess — map your sources, flows, and the places data quality breaks down.
02
Build — pipelines, warehouse models, and platform integrations that hold up.
03
Operationalize — monitoring, data quality checks, and runbooks for the failures you'll actually see.
04
Hand off — documented, in your repos, run by your team.
TYPICAL OUTCOMES
80%
FEWER AUTHENTICATION ISSUES AFTER AN ANALYTICS PLATFORM MODERNIZATION
Zero
MAJOR INCIDENTS DURING PHASED MIGRATIONS OF ENVIRONMENTS, REPORTS, AND DASHBOARDS
Current
ANALYSTS WORK FROM LIVE DATA INSTEAD OF LAST MONTH'S EXPORT
WHAT WE TAKE ON
If this sounds like your data stack, we should talk.
01
Pipelines fail silently
We add monitoring and data quality checks so broken ingestion is caught before it reaches a dashboard — with runbooks for the failures that recur.
02
Dashboards disagree with each other
We trace the lineage, consolidate the modeling, and establish one source of truth your teams actually trust.
03
An analytics platform migration is looming
We plan and execute phased migrations of environments, reports, and dashboards — identity and SAML authentication included — without major incidents.
04
Analysts export to spreadsheets to get current data
We rebuild the warehouse operations so the platform is faster than the workaround.
COMMON QUESTIONS
What buyers usually ask before an engagement
What data stacks do you work in?
The major cloud data platforms and warehouses, plus the orchestration and identity layers around them. We adapt to your stack — we don’t require ours.
Do you work alongside our data team or independently?
Alongside, almost always. We embed with your engineers and analysts, work in your repos, and transfer knowledge as we go.
Will we end up dependent on you?
No — that’s a design goal. Pipelines, models, and runbooks land documented in your repos, runnable by your team.
RELATED WORK · DATA · PLATFORM
Cloud analytics migration for a global technology company
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Broadwing
Engineering clarity in a world of complexity. Platform, data, security, and HPC engineering for teams that can't afford downtime.
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