Deep in the fundamentals. Fluent in the modern stack.
Tools change every few years; data modeling and good architecture don’t. We combine both, and we pick technology for your problem, never the other way around.
Technologies by category
Data architecture & modeling
- Dimensional modeling (Kimball)
- Data Vault
- Enterprise data models
- Data warehouse architecture
- Lakehouse & medallion
- Semantic layers
- Master data management
Cloud data platforms
- Snowflake
- Databricks
- BigQuery
- Amazon Redshift
- Dremio
- Apache Iceberg
- Delta Lake
- PostgreSQL with columnar storage
- AWS
- Azure
- Google Cloud
Data engineering
- SQL
- Python
- Apache Spark
- ELT / ETL
- Batch & incremental loads
- Performance tuning
Integration & streaming
- Airbyte
- Meltano
- Apache Kafka
- Change data capture (CDC)
- REST APIs
Orchestration & transformation
- dbt (our specialty)
- Apache Airflow
- Mage
- Data as code: Git, CI, reviews
Governance, quality & observability
- OpenMetadata
- Open data catalogs
- Great Expectations
- Elementary
- Grafana
- Prometheus
- Lineage & data contracts
Analytics & BI
- Qlik
- Metabase
- Metric definitions
- Self-service analytics
AI & data integration
- AI-ready data models
- Retrieval (RAG) architectures
- Vector search
- Model Context Protocol (MCP)
- Governed data access for agents
Snowflake
Architecture, modeling, migration and cost optimization on Snowflake, backed by the SnowPro Advanced: Architect and SnowPro Core certifications.
dbt
dbt projects done right: layered models, tests, documentation, CI and team conventions, backed by the dbt Analytics Engineering certification and years of teaching dbt.
Technologies listed reflect hands-on project and teaching experience. Certifications are individual professional credentials. Product names belong to their owners; listing them does not imply an official partnership or endorsement.
Certified where it counts.
Including Snowflake’s most senior architecture credential. We work across platforms and have a clear preference for the Snowflake ecosystem and dbt, where our expertise runs deepest.
Individual professional certifications held by our team. They are not vendor partnerships.
A full open-source data stack, when it makes sense.
Not every company needs a commercial platform. For many, a well-architected open-source stack, such as Airflow + dbt + Dremio + an open data catalog, or our tuned PostgreSQL with columnar storage, delivers a complete, governed data platform with no license costs.
Zero license costs
Significant savings compared with proprietary tools. You pay for infrastructure and expertise only.
No vendor lock-in
Open formats and open tools: your data and your logic stay portable.
Total flexibility
Each layer can evolve or be replaced as your needs grow, without starting over.
Choosing a platform?
Get an independent opinion before you sign a multi-year contract. We compare options against your data, team and budget, with no commission on the outcome.