Twenty years of building business-critical systems for finance, retail and banking — most recently with generative AI in the loop on every commit. KTH-educated, small & senior, and still hands-on the keyboard.
Vingedal Consulting is small on purpose. You get a senior developer / architect with twenty years of hands-on experience — not a hand-off to juniors.
I bring generative AI into the daily build — pair-programming with Claude Code, MCP-based automation, AI-assisted CI/CD. Implementation runs in a sandboxed devcontainer against a written Plan or PRD, so I can focus on review instead of prompt-babysitting.
Pipelines, models, dashboards. Kimball or Data Vault depending on the problem. Recently certified in dbt and Databricks; twenty years on the Microsoft stack before that. The numbers your finance team sees are the numbers I will defend in person.
System-architect at H&M, leading a new 6-person development team and setting patterns from data modelling to CI/CD. Comfortable being the senior who writes the first version and the standards everyone else codes against.
Twenty years building business-critical .NET applications, web APIs, and integrations. The CCE markup engine I built at H&M still calculates daily on 2 million+ order rows and serves four downstream systems.
A working stack, not a wish-list. Each group below is something I use in production today, on either client work or my own properties.
Two decades of long-stay engagements across banking, finance, retail and the regulated edges of each. The constant: data the business has to defend in writing — and increasingly, the AI helping it answer the next question.
Multi-year engagements building the data backbone behind credit onboarding, risk reporting, and the legal reports filed with regulators. Conformed source systems, Data Vault and Kimball architectures, GDPR-aware historization — all behind unit tests running in CI/CD.
Several years inside H&M — as System Architect supplying data to the central data warehouse, and as Lead Developer of the Cost Calculation Engine. Set the patterns, led the new development team, and built the calculation everyone in the building depends on to price the next collection.
Earlier engagements span telecom data-warehouse migration, BI & reporting at one of the world's largest spirits brands, building-materials distribution, real-estate analytics across a national franchise, transport simulation, and more. Long stays. Most produced something still running today.
Vingedal Consulting owns and operates a small portfolio of vertical comparison sites. One comparison engine, many verticals — each configured in the database and deployed to its own Azure resource group via Infrastructure-as-Code (Bicep).
Point-of-sale comparisons — same engine, configured as a separate Azure resource group.
Additional comparison verticals provisioned via Bicep and configured in the database.
I'm a senior developer, database developer, and architect with twenty years of hands-on experience building business-critical systems in finance, retail and banking. The last year I've focused heavily on generative AI in the development work itself — Claude Code and GitHub Copilot daily, MCP-based automation, AI-assisted CI/CD running in production.
I review every PR personally. Code that ships should be code I can defend in person, regardless of who — or what — wrote the first draft.
Vingedal Consulting AB also owns and runs an independent portfolio of comparison sites — the largest being bokforingssystem.se, Sweden's leading independent service for finding the right accounting software. Running my own product in parallel with client work keeps the data, AI, and product-engineering muscles in shape.
Reach out by email or phone, or send a few lines through the form. I usually reply the same business day.