01
Cloud Data Platforms
Architecture and build-out across all three hyperscalers: lakehouse foundations, governed warehouses, and the plumbing that keeps them cheap and fast.
- GCP
- AWS
- Azure
- Databricks
02Expertise
Where I do my best work.
Six disciplines that show up in every engagement, sharpened across banking, betting, commerce, big tech, health tech and consulting.
02
Streaming & Real-Time
Event-driven pipelines that stay correct under load, from Pub/Sub, Kinesis and Event Hubs through to sub-second analytics and alerting.
- Dataflow
- Pub/Sub
- Kinesis
- Event Hubs
03
Agentic AI & MLOps
Production ML and LLM systems on enterprise data: feature stores, Vertex AI endpoints, evaluation, guardrails and the CI/CD that makes them shippable.
- Vertex AI
- Agents
- RAG
- MLOps
04
Data Modeling & Warehousing
Dimensional and lakehouse modeling, warehouse migrations, and complex ETL structures built to survive a decade of changing requirements.
- BigQuery
- Redshift
- Synapse
- Snowflake
05
Platform Engineering
Infrastructure-as-code, CI/CD and cost control with Terraform, Kubernetes, Cloud Build and Composer, so platforms stay auditable and cheap in production.
- Terraform
- Kubernetes
- CI/CD
- FinOps
06
Leadership & Delivery
Building and mentoring engineering teams, owning technical oversight of partners, and acting as the bridge between C-suite stakeholders and delivery.
- Team building
- Mentoring
- Stakeholders
- Strategy
- BigQuery
- GCP Dataflow
- Pub/Sub
- Vertex AI
- Databricks
- Apache Spark
- Apache Beam
- Apache Airflow
- Terraform
- Kubernetes
- Azure Data Factory
- Azure Synapse
- AWS Glue
- AWS Kinesis
- Amazon Redshift
- Snowflake
- Python
- Scala
- Java
- SQL
- MLOps
- Agentic AI
- CI/CD
- BigQuery
- GCP Dataflow
- Pub/Sub
- Vertex AI
- Databricks
- Apache Spark
- Apache Beam
- Apache Airflow
- Terraform
- Kubernetes
- Azure Data Factory
- Azure Synapse
- AWS Glue
- AWS Kinesis
- Amazon Redshift
- Snowflake
- Python
- Scala
- Java
- SQL
- MLOps
- Agentic AI
- CI/CD