We begin with a structured 5-day architectural discovery audit. We review your current schemas, source data volumes, query execution logs, and downstream reporting demands before writing a single line of production pipeline code.

Targeted schema transformations and single source integrations deploy within 2 to 3 weeks. Full warehouse builds with automated dbt transformations, validation models, and BI semantic layers typically take 6 to 8 weeks.

We default to fixed-scope project milestones with explicit technical acceptance criteria. You know the exact deliverables, schema architectures, and investment upfront without open-ended hourly retainers.

We never ingest root credentials or persist private keys locally. Engagements use dedicated least-privilege service principals, scoped IAM policies, and ephemeral secrets rotated through your native cloud key management systems.

All pipelines, orchestration engines, and data transformations run strictly inside your own cloud tenant or VPC. Our code and configurations deploy to your environment, meaning your raw customer data never traverses our infrastructure.

We engineer across Snowflake, BigQuery, Databricks, and AWS Redshift. For orchestration and modeling, we build robust configurations using Airflow, Prefect, Dagster, and production-tested dbt Core packages.

You receive complete ownership of all Infrastructure as Code (Terraform) scripts, dbt data models, CI/CD pipeline definitions, test suites, and operational runbooks for internal maintenance without vendor lock-in.