Microsoft Fabric Consultant
Fixed-scope ops buildsI build Fabric-native monitoring around live estates: central pass/fail logging, Teams alerting through Reflex, KQL dashboards for status and runtime, failure diagnostics, lakehouse vacuum reporting, and data ingestion or pipeline optimisation. The result is a supportable operations layer that saves time, improves capacity run times, and stays inside Fabric.
Latest state, failed workspaces, runtime movement, and process-level detail in one place.
Pass and failure events land in the right channel with concise, action-oriented context.
Process names, timings, error summaries, and workspace rollups are centralised for review.
Ingestion, runtime, and capacity behaviour can be tuned so processes finish faster and waste less.
Platform
This is not a generic admin dashboard. It is a central operations workspace built with Fabric objects: Data Pipelines, Notebooks, Eventhouse, KQL Database, Reflex, KQL Dashboards, and lakehouse maintenance logic.
Pipeline and notebook outcomes roll into shared KQL tables so support can review the estate as one system instead of workspace by workspace.
Latest workspace status, pass/fail distribution, failed workspace lists, and runtime trends are surfaced in real-time dashboards built directly in Fabric.
Success and failure events can be routed to Teams with business-hour windows, catch-up logic, and concise support-facing messages.
Runtime averages, failure counts, process types, and latest error details are tracked so slow or unstable workloads become visible fast.
Multi-workspace lakehouse vacuum runs, dry-run estimates, reclaimed GiB, workspace savings, and lakehouse drilldowns are logged and reported centrally.
Data ingestion and pipeline processes can be improved with Fabric parallel processing patterns, runtime tuning, and capacity-aware design where the project allows.
Native Fabric Footprint
Built with native components rather than an external monitoring tool bolted onto the side.
Dashboards
These previews are rebuilt for public use. Workspace names, lakehouse names, process names, dates, operational metrics, and error details are generic so the shape of the product is visible without exposing real client or workplace data.
Delivery
The engagement is deliberately practical: understand the estate, wire the signal path, prove the dashboards, and leave the team with assets they can maintain.
This work fits best when a team already has Fabric in motion and needs operational visibility, alerting, and maintainability added around the estate without forcing a separate product onto the support model.
Review the current pipelines, lakehouses, alert gaps, and where support loses time today.
Wire pipeline and notebook outcomes into a shared logging model inside Fabric.
Set up support-friendly success and failure routes with clear timing and business rules.
Ship dashboards that show status, runtime, diagnostics, and maintenance impact clearly.
Leave behind Fabric-native assets the team can own, extend, and support after delivery.
Contact
Good fits are teams that want better monitoring, alerting, vacuum reporting, or bronze-layer operational visibility without turning the solution into a separate platform.