Modernizing a decade-old data warehouse without downtime
Northgate Capital
60%
reduction in ETL maintenance time
Northgate Capital came to us with a decade-old on-premises warehouse that had grown brittle: nightly batch jobs regularly missed their SLA windows, and every schema change required a full regression pass across a tangle of undocumented stored procedures.
We ran a phased re-platforming onto Snowflake, standing up the new environment alongside the legacy system and validating outputs row-for-row before cutting traffic over — so reporting never went dark during the migration.
Post-migration, orchestration moved to a small set of versioned, tested pipelines. The team now ships schema changes in hours instead of weeks, and the reporting SLA has not been missed since go-live.
More success stories
Real-time inventory visibility across 400+ stores
BluePeak Retail needed store-level inventory visibility inside minutes, not overnight batches. We built a streaming ingestion layer on Databricks that closed the loop between point-of-sale and replenishment.
$1.4M
in reduced stockout losses (year one)
Predicting equipment failures before they cause downtime
Ferro Industrial's maintenance teams were reactive by necessity — sensor data existed but was never unified. We built the feature pipelines and model-serving layer that made predictive maintenance possible.
23%
reduction in unplanned downtime
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