Azure Analytics Consulting for Seattle Companies With Data Scattered Across Too Many Systems
The order data lives in the e-commerce platform, the production data in a plant database, the vessel or fleet data in a vendor portal, and the finance team stitches them together in spreadsheets every Monday. Better dashboards will not fix that. A place for the data to land will.
Lightray Solutions provides Azure analytics consulting in Seattle for maritime and logistics companies, aerospace and manufacturing suppliers, and online retailers whose data sits in a dozen systems that do not talk to each other. Edward Pinela, MBA, designs the platform underneath your reporting: how data is pulled in, where it is stored, how it is cleaned and who may see it, using Azure and Microsoft Fabric.
The first step is a free 30-minute strategy call. This work has no published package price: once we have mapped your sources you receive a written, itemized quote, and Microsoft bills Azure and Fabric capacity to your company directly. All work is remote; Lightray’s business address is in Fullerton, California.
“Great firm, they understood our company needs really quickly… their approach was very hands on…”
— Jean-Michel C., Google review
Why do Seattle companies end up with data in so many places?
Because each part of the business bought the tool that suited its own job. Operations runs a maritime or manufacturing system, sales runs an e-commerce platform and a CRM, finance runs an ERP, and each vendor keeps its data in its own format. The data exists; it simply never meets.
The regional economy makes this mix common. The Bureau of Labor Statistics’ Economy at a Glance for Seattle-Tacoma-Bellevue counts 384,300 jobs in professional and business services, 351,600 in trade, transportation and utilities, 167,900 in manufacturing and 132,100 in information in September 2026 (preliminary).
What does an Azure analytics platform include?
Four layers, each one replacing a manual step someone does today. The table below sets out what each layer does and which Microsoft service usually fills it. Reports sit on top of these layers, which is why a reporting project that skips them tends to stall.
| Layer | What it replaces | Usual Microsoft service |
|---|---|---|
| Ingestion | Weekly CSV exports from each system | Fabric Data Factory pipelines or mirroring |
| Storage | Spreadsheets on a shared drive | OneLake lakehouse on Azure Data Lake Storage |
| Transformation | Manual lookups and copy-paste joins | Dataflows, notebooks or warehouse SQL |
| Governance | Emailing files to whoever asks | Workspace roles, sensitivity labels, OneLake catalog |
| Serving | A finance analyst rebuilding the same report | A shared semantic model for Power BI |
Should we use Microsoft Fabric or separate Azure data services?
For most mid-sized companies, Fabric is the simpler choice. Microsoft Learn’s overview of Microsoft Fabric describes a software-as-a-service platform where Data Factory, data engineering, the data warehouse, streaming analytics (Real-Time Intelligence) and Power BI all work over one store, OneLake, built on Azure Data Lake Storage Gen2.
Separate Azure services still make sense when you need fine-grained control over networking, when data volumes favor a specific engine, or when much of your data must stay in an existing data lake. Fabric shortcuts can read from Azure Data Lake Storage, Amazon S3 and Google Cloud Storage without copying, so the two approaches can be combined.
How does a Seattle analytics engagement run?
Source by source, starting with the one that causes the most manual work.
- Source map. Every system that holds data you report on, how it can be reached (API, database, file export) and how often it changes.
- Landing. Data Factory pipelines or Fabric mirroring copy each source into OneLake on a schedule, with failures alerted.
- Cleaning and joining. Raw data shaped into tables a business user recognizes: orders, shipments, work orders, invoices, with one definition each.
- Governance. Workspaces, roles and sensitivity labels so finance, operations and partners see only what they should.
- Hand-off to reporting. A tested semantic model ready for Power BI, built by your analysts or by us.
What does Azure analytics consulting cost in Seattle?
Each engagement is quoted after the free call, mainly by the number of sources and how messy they are. You review and approve the written scope and price first, and no retainer is involved. Microsoft bills Fabric capacity or Azure data services separately; we size the smallest capacity that handles your refresh schedule and show its monthly cost before you buy.
Why Seattle companies work with Lightray on Azure analytics
Edward designs and builds the pipelines, models and permissions himself, and Lightray also builds the reports that sit on top, so nothing is lost between a data engineer and a report author. He has 20+ years in technology and 200+ projects delivered, and Lightray holds a 4.9 Google rating. For the reporting layer, see a Power BI consultant in Seattle and Lightray’s Microsoft Fabric implementation service. Down the I-5 corridor, the Portland Azure page covers file and project data for design firms. Everything else Azure is under Microsoft Azure consulting services.
Further reading: Microsoft Learn — what is Microsoft Fabric.
Where does your Seattle company’s data actually come together?
Book a free 30-minute call with Edward Pinela, MBA. You get an honest read on what to fix first — and if we are not the right fit, you will hear that on the call.
Frequently asked questions
We already pay for Power BI. Do we need Fabric too?
Not always. If a few clean sources feed a handful of reports, Power BI alone may be enough. Fabric earns its capacity cost when you have many sources, large volumes or several teams reusing the same data. The source map shows which side of that line you are on.
Can vendor systems with no database access be included?
Usually, through the vendor’s API or scheduled file exports. Data Factory has many built-in connectors, and where none exists a small custom pipeline can pull the data. We check each source’s options and limits during the source map.
Do you work from Seattle?
No. All work happens remotely over video and screen share during Pacific hours, inside your own Microsoft tenant. Lightray has no Washington office or staff; its business address is in Fullerton, California.
What do you need from us?
A list of the systems you report from, credentials or API access for each, the five or six numbers leadership argues about most, and an analyst or manager who knows how those numbers are calculated today.
You Won’t Get Handed Off to Junior Staff.
At most consulting firms, the senior person who sold you shows up for the kickoff — then you get handed to a team of juniors learning on your dime. That’s not how we work.
When you hire Lightray Solutions, you work directly with Edward Pinela, MBA — a principal consultant with 20+ years of experience across Power BI, web development, SEO, and CRM systems. Edward architects every engagement personally, stays involved through delivery, and answers his own phone.
Read Edward’s Full Bio“Mid-market companies deserve senior-level expertise without paying enterprise-agency prices. That’s the gap Lightray fills.”
Simple. Transparent. Proven.
No black-box processes. No endless discovery phases. A straightforward three-step approach designed to deliver measurable results fast.
Discovery Call
Free 30-minute strategy session where we assess your data landscape, website, marketing — and where AI would genuinely pay off versus where it's hype.
Free · No ObligationCustom Roadmap
You receive a tailored plan with clear deliverables, realistic timelines, and expected ROI. You approve every detail before we start.
Fixed Scope · Clear PricingMeasurable Results
We execute, measure, and optimize. You get dashboards, regular check-ins, and full visibility — so you always know the impact.
Data-Driven · TransparentGet a clear plan in one free call.
Tell us what you are trying to fix. Your request goes to Edward Pinela, MBA — the principal consultant who would do the work — and you hear back within 4 business hours.
Prefer to call? +1 (714) 872-9606