What We Do
- Data platform architecture & modernisation — designing and evolving data platforms across cloud and on-prem estates with clear operating boundaries
- Cloud migration & cross-cloud delivery — structured migration paths across GCP, AWS and Azure, including secure data sharing between platforms
- Analytics engineering & reliable data products — robust ELT/ETL patterns, layered modelling, and testable datasets that teams and stakeholders trust
- Governance, security, FinOps & observability — practical controls for PII, access, retention, cost and operational visibility without slowing delivery
- Technical leadership & hands-on delivery — from strategy and architecture through implementation, mentoring and standards that leave teams stronger
GCP-first, with proven cross-cloud delivery where needed:
Cloud & Analytics Platforms
GCP
BIGQUERY
DATAPLEX
CLOUD COMPOSER
BIGLAKE / ICEBERG
AWS
AZURE
SNOWFLAKE
REDSHIFT
Big Data & Processing
HDFS
MAPREDUCE (MR2)
HIVE
SPARK
IMPALA
KAFKA
SPARK STRUCTURED STREAMING
Orchestration & Platform
AIRFLOW
ASTRONOMER
MWAA
CLOUD COMPOSER
KUBERNETES
Data Architecture & Analytics Engineering
DBT CORE
DBT CLOUD
ELT
ETL
BRONZE / SILVER / GOLD
DIMENSIONAL MODELLING
REBUILDABLE DATASETS
APIs & Data Services
REST APIS
MICROSERVICES
DATA ACCESS PATTERNS
CI/CD
TESTING
Languages & Tooling
PYTHON
SQL
BASH / LINUX
RUBY
JAVASCRIPT
YAML
TERRAFORM
JENKINS
GIT
GITHUB
GITLAB
BITBUCKET
CYPHER
GRAPHQL
NEO4J
Observability & Analytics
DATADOG
GRAFANA
PROMETHEUS
ELK
SPLUNK
CLOUDWATCH
STACKDRIVER
LOOKER
JUPYTER
Datastores & RDBMS
ORACLE
SQL SERVER
POSTGRESQL
MYSQL
DB2
INFORMIX
DUCKDB
Security & Integration
OAUTH2
OIDC
IAM
RBAC
VAULT
SECRETS MANAGER
SERVICE-TO-SERVICE
REST
SFTP