Services
Four disciplines. One quality bar.
Every engagement is shaped with a clear scope and success metrics. I work with fixed-scope projects and monthly retainers.
01
Data Warehouse with dbt
Your analytical platform, layered and governed by tests, ready for the next year of growth.
What's included
- Audit of the current warehouse
- Layered architecture (staging / intermediate / marts)
- Automated tests (schema, custom, dbt-utils)
- dbt docs documentation
- CI/CD with GitHub Actions
- Environments (dev / staging / prod)
- Reusable macros
- Team training
Who it's for
Data teams with an existing warehouse (Snowflake, BigQuery, Redshift, Databricks) that has grown organically, or teams starting fresh and wanting to do it right from the start.
How we start
Free 30-min discovery call, then a paid 1–2 week diagnostic. From there, a fixed 6–12 week project or a monthly retainer.
FAQ
02
Dashboards & BI
One KPI, one definition, one source of truth. From semantic layer to the dashboard your C-level actually reads.
What's included
- Metric definition workshop
- Semantic layer (dbt metrics or native to the tool)
- Executive dashboards
- Operational dashboards per area
- Self-service guidelines
- Design and tone standards
- Documentation per metric
- Power-user training
Who it's for
Companies with too many dashboards and not enough trust. Executive teams tired of getting three different numbers for the same question.
How we start
Audit existing dashboards (1 week) → KPI workshop (2 days) → phased rebuild (4–8 weeks).
FAQ
03
Governance & AI-readiness
Catalog, lineage, ownership and data contracts. The invisible foundation that makes everything else work, and what makes plugging in AI safe.
What's included
- Data catalog implementation (Atlan)
- End-to-end lineage
- Cross-team data contracts
- Domain-level ownership and RACI
- Access policy and PII handling
- Curation for LLM/RAG use
- Quality metrics
- Incident runbooks
Who it's for
Companies with 20+ data users, multiple producing teams, or about to adopt internal generative AI and wanting to do it with care.
How we start
Maturity diagnostic (2 weeks), followed by phased implementation per domain. Typically a monthly retainer.
FAQ
04
AI training for companies
Workshops and hands-on tracks that get your team using AI day-to-day with judgment, safety and real outcomes.
What's included
- Content tailored to the company's context
- Hands-on with the tools your team already uses
- Prompts, workflows and guardrails for real tasks
- Separate tracks for leadership and operations
- Materials and recordings for later reference
- Post-training evaluation criteria
- Responsible AI use policy
- 30 days of post-training support
Who it's for
Companies that want to unlock productivity with AI without falling into hype, hallucination or data leaks. Works best with an executive sponsor and a pilot group of 10 to 50 people.
How we start
Quick diagnostic (3–5 days) to map use cases and tooling, followed by a 1–4 week track combining workshop, hands-on and mentorship.
FAQ
Investment
Fixed-scope projects and retainers.
For one-off projects: a fixed scope with deliverables and success metrics. For ongoing partnerships: a monthly retainer with dedicated hours. Pricing is shaped during the diagnostic.
Ready to get started?
Book a call. In 30 minutes we'll know if it makes sense to keep going.