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Data Engineering & Pipelines
The data layer underneath every good AI system — ingestion, transformation, time-series, and streaming built for correctness and scale.
The Problem
AI is only as good as the data feeding it. Most teams bolt models onto brittle, undocumented pipelines that silently corrupt or drop data.
Where We've Applied It
What You Get
- Batch and streaming ingestion pipelines
- Time-series and analytics data stores
- Validation, backpressure, and observability
- Reproducible transformations with lineage
Tech Stack
TimescaleDBPolarsPandasRedis StreamsPostgreSQL
Need this built for your product?
Tell us what you're trying to ship. We'll show you how we'd approach it and what it takes to get to production.
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