Data Engineering for Analytics and Platforms

We help teams design, build, and operate reliable data systems.

Get in touch

What We Do

Platform Design

Build data infrastructure that scales with your team. Focus on maintainability and observability.

Pipeline Development

Design and implement batch and streaming pipelines. Emphasis on reliability and monitoring.

Process Optimization

Improve existing workflows. Reduce complexity and technical debt.

Technology Stack

We work with modern data tools, chosen based on context and requirements.

Warehouses

  • Snowflake Snowflake
  • BigQuery BigQuery
  • Redshift Redshift

Orchestration

  • Airflow Airflow
  • Dagster Dagster
  • Prefect Prefect

Transformation

  • dbt dbt
  • SQL SQL
  • Python Python

Cloud Providers

  • AWS AWS
  • GCP GCP
  • Azure Azure

How We Work

A small team focused on building data systems that teams can understand and maintain.

Simplicity over complexity

Choose straightforward solutions. Avoid unnecessary abstraction.

Built for maintenance

Code that others can read, debug, and extend.

Observability first

Systems should make problems visible early.

Collaborative approach

Work alongside your team. Transfer knowledge, not dependencies.

Get in Touch

Interested in working together? Let's talk about your data infrastructure.

Send us an email