Danai Zerai
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Case StudySeptember 2024

Azure Serverless Consultancy — Enterprise Data Processing

Delivered Azure/M365 backend solutions at WM Reply, a Microsoft Partner consultancy — including serverless CSV processing, AI-driven automation tools, and full-stack enterprise applications serving major clients including ASOS.

£5k/quarter client savings5min/100k rows faster90% satisfaction improvementASOS engagement
C#.NETAzure FunctionsAzure APIMSharePointDataverseReactTypeScriptApplication Insights

Azure Serverless Consultancy — Enterprise Data Processing

Mission

Deliver production-ready Azure and M365 solutions for enterprise clients, balancing speed, platform fit, and long-term maintainability in a consultancy environment.

Tech Stack

  • C#, .NET, Azure Functions, Azure API Management
  • SharePoint, Dataverse, React, TypeScript
  • Application Insights for monitoring and diagnostics

Deliverables

  • Built serverless C#/.NET CSV-processing pipelines for high-volume data workloads.
  • Delivered internal enterprise tooling used by 200 users.
  • Implemented AI-driven automation flows to reduce repetitive operations and accelerate support workflows.
  • Integrated backend services with SharePoint and Dataverse to improve enterprise data access.
  • Contributed to client-facing delivery that turned trial engagements into longer-term contracts, including ASOS.

Outcomes

  • CSV processing: ~5 minutes saved per 100,000 rows.
  • Licensing savings: ~£5,000 per quarter for clients.
  • Internal tool: 200 users, 90% satisfaction improvement.
  • Support overhead reduction: ~3 hours/week.
  • Helped convert trial engagements into longer-term contracts (ASOS specifically).
  • AI-driven automation: 35% workload reduction, 5x query response speed improvement.

Trade-offs

Serverless architecture improved elasticity and operational simplicity for bursty workloads, while requiring stronger observability and clear failure-handling patterns for distributed execution. Consultancy delivery also required pragmatic prioritisation between ideal architecture and timeline-driven business outcomes.

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