Services
Advisory, delivery, and embedded engineering for modern data platforms.
Analytics Engineering
Versioned analytics with dbt, modern warehouses, and lakehouse patterns. Expect tested models, lineage, and reproducible pipelines.
- Ingestion and ELT with Fivetran, Airbyte, or custom connectors — orchestrated on Dagster or Airflow
- dbt modeling with documentation, tests, exposures, and contracts
- Semantic layers and metric definitions (dbt Semantic Layer, Cube, LookML)
- Dashboards and self-serve analytics (Looker, Tableau, Superset, Metabase)
- Data quality monitoring with Elementary, Monte Carlo, or open-source tooling
Cloud Platform & DevOps
Architecture reviews, migration plans, platform engineering, and observability. Secure by default, cost-aware by design.
- AWS, Azure, and GCP architecture and migration planning
- Terraform-based infrastructure as code with versioned environments
- Container platforms and CI/CD (ECS, EKS, GKE, GitHub Actions, GitLab CI)
- Security hardening: IAM, encryption, secrets, and SOC 2-ready patterns
- Cost optimization, SRE practices, and incident response tooling
Product Engineering
Reliable, accessible products with modern stacks and measurable outcomes.
- Discovery, UX/UI, and prototyping
- Web apps in React, Next.js, and TypeScript with accessible design systems
- API design (REST and GraphQL) and third-party integrations
- Automated testing, observability, and performance budgets
Engagement models
Every engagement has a defined shape, cost, and deliverable. No open-ended retainers.
1–2 weeks · fixed price
A written assessment of your current platform with prioritized, actionable recommendations.
4–12 weeks · outcome-scoped
A defined deliverable — migration, platform, pipeline, or product — shipped in tested increments.
Ongoing · per-seat
Senior engineers working alongside your team for sustained delivery and mentorship.