.NET, data pipelines, and the plumbing your BI needs
Great dashboards die of bad pipelines. We build the APIs, ELT jobs, and integrations that keep your data trustworthy — with the same rigour we bring to the visual layer.
Modern .NET,
built for the data era
.NET 9, Azure-first, Fabric-aware. We ship services that talk fluently to Power BI, Databricks, Snowflake, and whatever your CIO signed for last quarter.
General .NET development
Custom integrations
Backend APIs for Power BI
Data pipeline development
Azure & Fabric platform work
Software & data consulting
Bronze, silver,
gold — pragmatic medallion
We treat medallion as a naming convention, not a religion. Just enough zones to keep raw traceable, cleaned reusable, and executive-ready trustworthy — without over-engineering a 12-person data platform for your 4-person team.
Raw, lineage-preserving
OneLake or ADLS Gen2 landing zone. Columnar storage with source metadata. Nothing is deleted, everything is dated.
Cleaned & conformed
Typed, deduplicated, and joined into curated tables. Business rules live here — not in visuals, not in DAX.
Semantic & report-ready
Star-schema semantic model consumed by Power BI, embedded apps, or a downstream API. Cache-friendly, sub-second.
The five layers of a real BI system
A BI architect designs the system that turns raw data into decisions. Every layer below is a first-class deliverable — none of them are afterthoughts.
Data sources
Internal (ERP, CRM, MES, ticketing, product telemetry) and external (market data, ad platforms, macro feeds). We inventory them all, classify PII, and document refresh cadence and system-of-record ownership.
Integration & ETL
Extract, transform, and load — with query folding, idempotency, retries, and lineage. Whether that's Power Query, Data Factory, dbt, Airflow, or plain C# Azure Functions is a design choice, not dogma.
Storage
Data warehouses (Fabric, Synapse, Snowflake, BigQuery, Redshift), data marts, and lakehouses — with columnar storage underneath. We pick the storage shape that matches the query pattern, not the vendor slide deck.
Analytics & BI
Semantic models, DAX, calculation groups, and executive-grade dashboards. Power BI first — Tableau, Qlik, and Looker when the incumbent stack demands it.
Information delivery
Dashboards on the wall, mobile apps in the pocket, email digests in the inbox, and embedded reports inside your product. Delivery is a design problem, not a feature-flag toggle.
Boring where it counts,
bold where it matters
We optimise for correctness first, then velocity, then novelty. Your CI pipeline should be the most predictable part of your week.
Trunk-based, small PRs
Feature flags over long-lived branches. Merge daily, deploy on green.
Security by default
Managed identities, least-privilege RBAC, secrets in Key Vault, PII tagged and masked at the source.
Reproducible everything
Devcontainers, Bicep infra, seeded databases. New engineers productive in a morning.
Observability from day one
OpenTelemetry, structured logs, RED metrics. If it can page you at 3am, it's wired to a dashboard first.
A writeback API your users will actually use.
Power BI can visualise. It can't always capture. Our signature .NET 9 pattern gives users an in-report form that writes back through a Minimal API, into your data warehouse, audited, with optimistic concurrency and role-based rules.
app.MapPost("/api/forecasts/{id}", async (
Guid id,
ForecastUpdate patch,
ClaimsPrincipal user,
ForecastService svc,
CancellationToken ct) =>
{
var actor = user.FindFirstValue(ClaimTypes.Email);
var result = await svc.ApplyAsync(id, patch, actor, ct);
return result.Match(
ok: () => Results.NoContent(),
stale:() => Results.Conflict("Row changed"),
gone: () => Results.NotFound());
}).RequireAuthorization("forecast.write");Need a bench engineer with BI instincts?
Fractional CTO, integration lead, or embedded senior — we slot into your delivery cadence without a three-month onboarding.