Data systems

From raw events to governed metrics—not science projects.

Pipelines and consumption layers aligned to how you actually measure outcomes. Owners, freshness SLAs, and exceptions that stay visible.

Sources

Events · extracts · APIs

Contracts

Fields · owners · change policy

Quality

Checks · severity · remediation

Consumption

Metrics · APIs · automation

Capabilities

Where engineering time goes

A continuous pipeline—not seven disconnected buzzwords.

  • Ingestion & modeling

    Contracts aligned to how you measure outcomes—batch, streaming, and APIs with backfill and dead-letter paths.

  • Lineage & quality

    Checks and ownership that survive turnover—severity, remediation owners, and traces reviewers can cite.

  • Serving & analytics

    Interfaces downstream teams can rely on: curated marts, freshness SLAs, and exceptions that stay visible.

  • Data products

    Durable pipelines built for trust—owners, contracts, and promotion paths—not one-off extracts.

  • Access & governance

    Sensitive data with clear boundaries: classification, access patterns, and audit-friendly evidence.

  • Documentation

    Flows and decisions reviewers can cite—lineage maps, contracts, and change policy in one place.

  • APIs & interfaces

    Stable contracts for automation and reporting—so consumers do not reinvent shadow SQL.

Delivery mechanics

Boring patterns you can operate

  • Warehouse, lakehouse, or hybrid

    Tool choice follows cost, skill, latency, and residency—documented tradeoffs, not resume-driven novelty.

  • Security & FinOps by design

    Classification, retention, and query patterns so spend and access stay predictable.

Programs

Typical entry points

  • Trusted metrics layer

    One path from raw to board-ready numbers when leadership cites different figures.

  • Pipeline hardening

    Observable SLAs, replay procedures, and on-call ownership that matches reality.

  • Product & ops analytics

    Event discipline and curated marts that scale past the first dashboard.

  • Regulated & sensitive data

    Classification, access patterns, and audit-friendly lineage for risk review.

A warehouse alone does not fix organizational politics.

Our job is to make the substrate clear enough that disagreements are about policy—not mystery SQL. Artifacts include lineage maps, contracts, quality catalogs, and promotion/rollback procedures.

Need trusted metrics—not another shadow spreadsheet?

Share how leadership measures outcomes today. We map lineage and a practical path to a single picture of truth.