Service — Data engineering & analytics
Data your decisions can rest on.
Most reporting problems are not dashboard problems. They are pipeline problems — numbers that disagree, jobs that fail silently, definitions nobody wrote down. We fix the layer underneath first.
01 / 3
Pipelines and ingestion
A silent pipeline failure is worse than an outage: the dashboard still loads, and the number is wrong.
Batch and streaming ingestion with schema enforcement, retries, and alerting, so a broken upstream is noticed before a report is.
- Schema validation and quarantine at the point of ingest
- Idempotent, replayable loads with backfill support
- Freshness and volume alerts owned by a named team
02 / 3
Warehouse modelling
One definition, one place, tested — that is the whole job of a modelling layer.
Layered models with tested definitions, so revenue means the same thing in finance's report and the product team's dashboard.
- Staging, core, and mart layers with clear ownership
- Metric definitions versioned and tested like code
- Lineage traceable from a dashboard tile back to the source row
03 / 3
Analytics and reporting
A report earns its place when someone changes what they do because of it.
Dashboards built for the decision being made, with the caveats visible rather than buried in a footnote nobody reads.
- Dashboards scoped to a decision and an owner
- Confidence and freshness shown alongside the numbers
- Self-service models so questions do not queue behind an analyst
Engineering Principles
Three things we hold to.
How we approach every engagement — the non-negotiables that keep systems maintainable, compliant, and buildable.
Fix the source, not the report
Patching numbers in the presentation layer hides the problem and doubles it later.
Definitions are code
If a metric matters, its definition is version-controlled, tested, and reviewable.
Failures are loud
Pipelines alert on staleness and volume, so nobody discovers a break by reading a strange chart.
Engagement Outcomes
Production deliverables you own from day one.
Every engagement produces tangible codebases, automated pipelines, and operational specs your internal team actually runs.
Production Web Architecture
Full TypeScript React/Next.js product application built with strict schema validation, responsive state, and role-based permissions.
- Clean Git history with semantic commits
- Full end-to-end runtime & type safety
- Edge-optimized data fetching & caching
Enterprise Component Library
Documented component system enforcing consistent typography, spacing, accessible color contracts, and micro-interactions.
- WCAG 2.1 AA accessibility compliance
- Storybook / isolated component docs
- Zero-runtime CSS token architecture
Core Web Vitals Harness
Automated performance instrumentation guaranteeing sub-second load times and distributed real-user monitoring.
- Strict budgets: LCP < 0.9s & INP < 150ms
- Automated Lighthouse regression CI gates
- Real-user monitoring & error telemetry
Operational Specs & Runbooks
Comprehensive architecture blueprints, deployment guides, and structured pairing sessions for your internal engineering team.
- Self-healing production deploy scripts
- Architecture Decision Records (ADRs)
- Paired engineering team transition
Tell us what you are trying to build.
Bring the constraint that worries you most. That is usually the fastest way to work out whether this is the right service for the job.