Service
Data & Pipelines
We build the ETL, warehousing, and analytics infrastructure that turns raw data into decisions.
In short
- What it is: the modern data stack done right — ETL/ELT, warehousing (Snowflake/BigQuery), dbt modelling, streaming, and analytics your team can actually trust.
- Who it's for: teams reconciling data by hand across many systems, or stuck with dashboards that quietly lie.
- What you get: tested, monitored pipelines with column-level lineage; foundational dashboards live by week 3.
What's included
ETL & ELT pipelines
Reliable data movement between APIs, databases, files, and queues — with retries, alerting, and backfills built in. Pipelines that fail loudly and recover cleanly instead of silently dropping rows.
Data warehousing
Snowflake, BigQuery, or Redshift modelled with dbt so your tables are documented, tested, and sane. A warehouse your analysts trust, not a dumping ground.
Real-time streaming
Kafka, Kinesis, or Pub/Sub for event-driven systems that need data in seconds, not in the next nightly batch. We get the delivery guarantees right where they actually matter.
Analytics engineering
Metric layers, dashboards, and business-readable models so the whole company shares one definition of revenue and active user. Self-serve answers, not a ticket queue to the data team.
Data quality & lineage
Automated tests, freshness checks, and column-level lineage so you know a number is right and where it came from. Broken data gets caught upstream, before it ever reaches a dashboard.
Migration & cleanup
Move off a legacy warehouse with a planned, low-risk cutover — or untangle the modelling mess that's already there. We leave it documented so it stays clean.
When to choose this
Good fit if
- Your team copies data between systems by hand
- You have data in five places and reconciliation is a nightmare
- Your dashboards lie to you and nobody knows why
- You need real-time data and your batch jobs run nightly
Maybe not if
- You have under 10 GB total and a spreadsheet works
- You don't yet have data — start with the product first
Typical process
Every engagement runs the same transparent way. We agree a tight scope and a committed date up front, then work in short cycles with a live demo each week — so you watch real software take shape instead of reading status reports. You always know what's shipping, what's next, and why. Tap any step below for what actually happens; we adapt the exact cadence to your stage and scope.
We map every source, sink, and current pain point, then rank them by impact. You get a clear picture of what's broken and what to fix first.