Services

Data platforms that
earn their keep.

Six engagements I take on — each with defined deliverables, not open-ended retainers.

◈

Data Architecture & Governance

Enterprise data strategy and the governance scaffolding that keeps it honest as teams multiply.

Deliverables

  • Target-state architecture
  • Governance framework
  • Data catalog design
  • Privacy & compliance map
  • Roadmap
▦

Lakehouse Implementation

Medallion architecture on Databricks with Unity Catalog governance, built to production standards from the first commit.

Deliverables

  • Bronze/silver/gold pipelines
  • Unity Catalog setup
  • Data quality expectations
  • Validation SQL
  • Runbook
☁

Cloud Migration

Moving data estates to AWS, Azure or OCI without the six-month surprise. Baseline first, then migrate.

Deliverables

  • Current-state assessment
  • Migration plan & waves
  • Cost model
  • Cutover & rollback plan
⚡

Database Engineering

Oracle, PostgreSQL and SQL Server work: performance tuning, high availability and capacity planning under real load.

Deliverables

  • Performance baseline
  • Tuning changes
  • RAC / Data Guard design
  • Capacity forecast
◑

Analytics & BI Architecture

Dimensional models and Power BI architecture so self-service actually stays trustworthy.

Deliverables

  • Dimensional model
  • Semantic layer
  • Executive KPI set
  • Self-service guardrails
✦

AI-Enabled Automation

Targeted AI where it removes measurable admin load — document review, completeness checks, exception triage.

Deliverables

  • Use-case assessment
  • Prototype
  • Human-in-loop design
  • Evaluation harness

Process

How an engagement runs.

1

Discovery

Stakeholder interviews, current-state audit and a written baseline. No recommendations until the numbers exist.

2

Design

Target architecture, integration options, trade-offs and risks — documented so your team can challenge it.

3

Implement

Build in production-shaped increments with data quality rules, validation and handover docs from the start.

4

Optimise

Tune against the baseline, close the gaps, transfer ownership. Success means you don't need me next quarter.

Why me

Why work with me.

◷

15+ years, four countries

IBM, INDRA, DIRECTV LATAM, University of Otago, Fronde and QUT. I've seen how the same architecture fails differently in different regulatory contexts.

▲

Measured outcomes

70% performance improvement through capacity planning at Fronde. 30% faster query execution at DIRECTV supporting 3M+ users. Numbers, not adjectives.

◎

Both sides of the wall

I've run the databases at 2am and written the three-year strategy. Architecture that ignores operations isn't architecture.

✎

Documentation that ships

Constraints, integration options, compliance considerations and recovery notes — written so the next engineer doesn't reverse-engineer your platform.

◈

Vendor-neutral

Certified across AWS, Azure, Oracle Cloud and Databricks. No incentive to sell you the platform I happen to resell.

⚑

Founder's perspective

I run my own product, Let's Data Talk. I know what it costs to maintain the thing after the project closes.

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