Data Architecture & Governance
Enterprise data strategy, governance frameworks, metadata management and privacy — designed to pass audit and survive growth.
Solution Architect & Data Specialist
20+ years designing Lakehouse platforms, cloud migrations and governed data architecture — across Colombia, Spain, New Zealand and Australia. Now consulting from Brisbane.
What I do
Enterprise data strategy, governance frameworks, metadata management and privacy — designed to pass audit and survive growth.
Medallion architecture on Databricks and Unity Catalog: bronze ingestion, silver conformance, gold dimensional models.
AWS, Azure and Oracle Cloud migrations built on Well-Architected principles — secure, resilient and cost-aware.
Oracle RAC, Data Guard, Exadata, PostgreSQL and SQL Server — performance tuning, HA design and capacity planning.
Power BI architecture, dimensional modelling and self-service enablement so leaders get trusted numbers, fast.
Document review, completeness checks and exception handling — AI applied where it removes real administrative load.
For football
I referee on weekends and build registration and compliance data for football clubs through Let's Data Talk. Football data has its own rhythm: seasons, transfers, age groups and volunteers. I design for it.
Match, player and membership data in one governed place: registrations that reconcile, rosters coaches can rely on and reporting the board can defend.
Registration, competition and participation data across every member club, with shared standards, compliance reporting and one source of truth.
Signature architecture
Bronze ingests raw. Silver conforms and cleans. Gold serves the business. Three layers, one governed catalog — the pattern behind every platform I ship.
Player & team dimensions, registration facts, invoice facts, executive KPI summaries.
Safe casting, null handling, text cleansing, latest-snapshot dedup, materialized views.
Auto Loader / cloudFiles, mixed encodings, repeated CSV snapshots, schema evolution.
Tech stack
From the blog
What actually breaks when you lift Power BI prep logic into Spark Declarative Pipelines — and the patterns that survive.
A practical catalog and schema layout that scales past the first three teams who onboard.
High availability is a requirements conversation, not a product choice. A decision framework.