Lagrange Labs

Data Engineering

Data Engineering Services

Data infrastructure that holds up, with automated lineage tracking and insight in real time

Data problems are usually design problems. Pipelines built in a hurry break in silence, and teams lose trust in the numbers. We work with companies to untangle existing data infrastructure and build systems that stay reliable as you scale.

Maybe you need to migrate a warehouse. Maybe your ETL jobs have fragmented and need consolidating, or you want lineage tracking in the workflow from day one. We do the engineering ourselves, hands on the keyboard. Every engagement starts with your actual SQL and your actual data flows.

We've built and maintained pipelines across Snowflake, BigQuery, Redshift, and PostgreSQL. If your data team is stretched thin or you need a specialist for a critical migration, let's talk.

Try the proof yourself

We built LineagePro, a free column-level SQL lineage visualizer. It parses, models, and visualizes real pipelines across four SQL dialects, and it is the same craft we bring to client work. Read how it's built, or paste your own SQL into it right now.

Automated Lineage Tracking
Know where a column came from, and what breaks when it changes
  • Lineage down to the individual column
  • Real-time updates
  • Impact analysis before a schema change ships
  • Refresh on whatever schedule suits you
Data Pipeline Automation
Pipelines that run on schedule, and say so when they don't
  • ETL and ELT pipeline development
  • Orchestration and scheduling
  • Error handling and monitoring, so failures surface loudly
  • Performance work on the jobs that cost you most
Data Architecture Design
Models and schemas that still make sense a year in
  • Data modeling
  • Schema design that survives new requirements
  • Integration across systems that were never meant to talk
  • Performance tuning

How We Work

Discovery

We audit your current pipelines, schemas, and data flows to identify bottlenecks and risks before writing any code.

Build

We build it in your stack, alongside your team: pipelines, models, orchestration.

Handoff

You get documentation, runbooks, and a clean handoff so your team can own and extend everything we build.