Real-Time Data Pipeline
A streaming pipeline that turned a batch job nobody trusted into a system the whole company queries with confidence.
The old pipeline ran once a night and broke more often than anyone wanted to admit, quietly feeding different answers to different teams. We rebuilt it as a streaming system on a tested, documented data model, so freshness is measured in minutes and a failure gets caught before it ever reaches a dashboard.
Challenges we solve
Nightly batch jobs kept failing
Volume had outgrown the original pipeline, and failures went unnoticed until someone asked why a report looked wrong.
No single source of truth
Different teams queried different copies of the same data and got different answers.
Schema changes broke downstream reports
A single upstream change could silently corrupt dashboards relied on company-wide.
What we deliver
Streaming ingestion pipeline
Event data processed as it arrives instead of in overnight batches.
Modeled, tested data tables
A documented data model with automated tests that catch issues before they reach reports.
Monitoring and alerting
The team is notified the moment a pipeline step fails, not days later.
Outcomes
Technologies
Related Case Studies
Ready to discuss Real-Time Data Pipeline?
Book a strategy call with our data engineering team.
Book a Strategy Call