Services

Engagements scope from a two-week design sprint to a long-term embed. Pricing is fixed-fee where possible.

• Data platform design

  Pick the right warehouse, lakehouse, or hybrid for your scale and budget. We design for the next 18 months — not the next slide.

  Typical deliverables

  • Architecture decision record (ADR) with trade-offs
  • Cost model across Snowflake / BigQuery / Databricks
  • Reference implementation in your environment

• Pipeline engineering

  Batch and streaming pipelines that are idempotent, observable, and cheap to operate. Airflow, Dagster, dbt, Kafka, Flink.

  Typical deliverables

  • End-to-end ingestion from sources to warehouse
  • CI/CD with PR previews and lineage tests
  • On-call runbook + alerting baseline

• Analytics engineering

  Trustworthy metrics and a semantic layer your business actually uses. dbt + Lightdash / Looker / Metabase.

  Typical deliverables

  • Metric definitions versioned in code
  • Slowly-changing dimension models
  • Self-serve BI with proper access controls

• Applied ML

  From scoping to inference. Forecasting, ranking, classification — we ship models that operate, not just train.

  Typical deliverables

  • Feature store + offline/online parity
  • Model registry and deployment pipeline
  • Shadow traffic, A/B harness, monitoring