What We Do
- Data platform architecture & modernisation — designing and evolving platforms that scale, perform, and make sense
- Cloud & on-prem migrations — pragmatic transitions without burning the business or the team
- Analytics & lakehouse engineering — reliable, testable data models that people actually trust
- Delivery leadership & technical advisory — aligning engineers, platform teams, and stakeholders to a common goal
- Short, high-impact engagements — unblock, stabilise, accelerate, then leave teams stronger than we found them
Platforms & tooling we’ve worked with and supported over the years:
Cloud & Analytics Platforms
AWS
GCP
AZURE
SNOWFLAKE
BIGQUERY
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