The shape of our engagements. Names stay private.
Engagements are anonymized by industry, size and stack, and details are generalised so no client can be identified. Happy to walk through the specifics in conversation.
- Anonymized
- Industry, company size and stack only. No names, no geography.
- Numbers
- Rounded and generalised. The stacks and the shape of the work are real.
- References
- Available in conversation, under NDA.
An ops agent that answers questions from live warehouse data — without ever seeing a patient record
The ops team wanted to ask questions in plain English and get real numbers back. The compliance team wanted a guarantee that no patient data would reach a model. We built semantic views in Snowflake and an MCP server that satisfies both.
From brittle SQL pipelines to a Snowflake foundation that ships features in days
A Series-C fintech had outgrown a tangle of Airflow jobs and hand-written SQL. We rebuilt ingestion and transformation on Snowflake + dbt, with tests, docs, and a cost model the team could actually see.
Cut Snowflake credits by 40% without deleting a single dashboard
The Snowflake bill had doubled in a year and nobody could say why. Six weeks of measuring, consolidating and re-scheduling took 40% off the monthly credits — and left the team with a cost model they still use.
Turning 40,000 free-text customer comments a month into a signal the merchandising team acts on
Reviews, support tickets and survey comments were piling up unread. We used Snowflake Cortex to classify them inside the warehouse, parsed the output into scored, testable columns, and gave the merchandising team a Streamlit app they open every Monday.
From overnight batch to minutes: an ingestion layer the team stopped babysitting
Every morning started with someone checking whether last night's load had worked. We rebuilt ingestion on Snowpipe, Fivetran and external tables, put tests on every source, and got data latency from six hours down to twelve minutes.
// MORE CASES PUBLISHED AS ENGAGEMENTS CLEAR NDA REVIEW
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