What we do
We build data platforms that survive contact with reality. Not proof-of-concept slideware, but the real thing: ingestion, quality, warehousing, analytics, monitoring, on-call. Sized to your operation, not the vendor’s SKU list.
Capabilities
- Data platform architecture — Airflow, dbt, warehouse design (Snowflake / BigQuery / self-hosted Postgres / MariaDB).
- Pipeline engineering — batch and streaming ingestion, quality checks, lineage.
- BI & analytics — Looker, Metabase, or custom Astro dashboards for exec/ops teams that shouldn’t have to learn SQL.
- Legacy modernization — replacing brittle Excel-and-batch-scripts with proper pipelines, without breaking the operations that depend on them.
- MLOps — feature stores, model deployment, drift monitoring for aerospace-grade workloads (deterministic, auditable, explainable).
- Data governance — cataloguing, PII handling, retention, access control.
How we work
- Small, senior, hands-on. The engineer you meet is the engineer writing the code.
- Measurable outcomes. Every focused engagement ends with a shipped platform slice + numeric target hit.
- Aerospace-grade rigor by default. Config management, environments, disaster recovery are non-negotiable — not upsells.
- Sized to your operation. SME building a first analytics stack, mid-market group consolidating a warehouse, or large group modernizing a legacy pipeline — same operating model, different scope.
Stack we’re fluent in
Grouped by the job each one does, because a flat run of seventeen names tells you less than five short lines do.
| Languages | Python · SQL · Node |
| Orchestration & transformation | Airflow · dbt · Kafka |
| Storage & warehousing | Postgres · MariaDB · Snowflake · BigQuery |
| Analytics & BI | Grafana · Metabase · Looker |
| Platform & delivery | Docker · Kubernetes · GitLab CI · Astro |
Where we’ve delivered
Aerospace primes, consultancies, and internal Vesper products. See the mission write-ups for engagement summaries.