Services
Clear engagements with defined outcomes, from an initial assessment to ongoing support.
Named engagements with defined outcomes, from a low-commitment assessment to ongoing platform ownership.
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Data Strategy & Architecture Assessment
A 1 to 2 week engagement. I review how your data flows today, find what's broken or missing, and deliver a clear plan to fix it.
- A plain-language report on what's working and what isn't
- A step-by-step plan with timeline and known risks
- Security and access requirements addressed up front
- An honest assessment of what you do and don't need
A fixed-fee, 1 to 2 week engagement covering your source systems and entities, data volumes, security and access requirements (including HIPAA or SOC 2 where they apply), and team capabilities.
- Written target-state architecture
- Tooling recommendation with rationale
- Governance and access model outline
- Phased build plan and risk register
- Honest assessment of what you do and don't need
The flagship
Analytics Foundation Build
I build the data foundation your team needs (automated pipelines, organized data, proper security) and walk your team through it. Typically 4 to 8 weeks. Fixed scope, fixed price, clear handoff.
- Automated data pipelines from every ERP and system you run, with no migration required
- One consistent view across entities: shared customer, item, and account definitions
- A secure, organized data warehouse
- Access controls that keep payroll, pricing, and other sensitive data limited to the right people
- Documentation and a recorded walkthrough so your analyst, finance team, or IT partner is self-sufficient
- Clean, analysis-ready data your analysts can use right away
A production-grade analytics stack deployed with infrastructure as code, in two modules: Warehouse Foundation and Transformation & Enablement. Typically 4 to 8 weeks. Fixed scope, fixed price, clear handoff.
- ERP and operational database ingestion across entities (incremental or CDC), connectors for SaaS sources
- Warehouse provisioned via IaC, with dev, staging, and prod environments and core monitoring
- dbt transformation layer: tested, documented staging and mart models
- Conformed dimensions and an entity dimension for multi-ERP consolidation
- RBAC role hierarchy, PII tagging and masking, audit-ready access controls (HIPAA-capable when required)
- Enablement handoff: architecture docs, runbook, recorded walkthrough, and full stack access for your team
Ongoing
Fractional Data Engineering Lead
Ongoing data leadership without a full-time hire. I watch your data systems, fix problems during business hours, and improve them as your needs change.
- Monitoring and business-hours fixes, so problems get caught early
- Ongoing improvements as your data needs grow
- A monthly report on platform health and work completed
- Advice on new data projects and tools
I stay on as the accountable owner of your data platform, month to month, without a full-time hire. Issue resolution covers business hours; there is no after-hours on-call.
- Pipeline monitoring and issue resolution during business hours
- Schema drift and data integrity management
- Model evolution as your business needs grow
- Advisory on new data needs, tooling, and architecture
- Monthly status report: platform health, work completed, recommendations
As needed
Expansion & Add-Ons
Once your foundation is in place, I can extend it. Each add-on is its own fixed-price project.
- Bring a newly acquired company onto the same foundation
- Connect additional systems and data sources
- Expand into new business areas and departments
- Shared metric definitions, so every report calculates key numbers the same way
Extends an existing foundation (mine or an equivalent) through discrete, fixed-price add-ons, each with its own defined deliverable.
- Add-on onboarding: a new entity's ERP mapped into the shared definitions
- New source system integrations
- Additional data domain and mart modeling
- Semantic layer: metric definitions and semantic views
- Additional environment and tenant provisioning
- Deeper modeling: advanced business logic, cross-domain joins, slowly changing dimensions
Not ready to talk?
Start with the free guide
What keeps analytics stuck, what a sound data foundation includes, and what an engagement looks like, in about 7 minutes.