Service

Data Engineering Services

Production-grade pipelines, warehouses, and lakehouses. Designed for the team that has to keep them running at 3am, not just demo them.

What We Do

Six capabilities inside every engagement

Ingestion & ELT

Batch, CDC, and streaming ingestion into your warehouse or lakehouse with schema evolution handled from day one.

Modeling & Warehousing

Dimensional and one-big-table models built in dbt, with tested contracts between raw, staging, and mart layers.

Orchestration

Airflow, Dagster, or Prefect pipelines with retries, backfills, and lineage — not brittle cron scripts.

Observability

Data quality checks, freshness SLAs, and anomaly detection wired into your on-call before dashboards break.

Governance

Row/column-level security, PII masking, and audit trails to meet SOC 2, HIPAA, or GDPR requirements.

Platform Hardening

Cost tuning, query optimization, and warehouse right-sizing — often the fastest ROI on an existing stack.

Platforms & tools our engineers work in daily

SnowflakeDatabricksBigQueryRedshiftdbtAirflowDagsterKafkaFivetranAirbyte

Have data infrastructure that's slowing you down?