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Data PipelinesMetricsBI3 months
USDDub
Canonical market data and signals that stay consistent across sources and time.
Challenge
Inconsistent formats, drifting definitions, missing data, and unreliable freshness across multiple sources.
Solution
Canonical schemas, ingestion validation, automated backfills, deduplication, and derived metrics built on a single source of truth.
Results
Normalized market data across providers
Dashboards that stay consistent over time
More trusted alerts and reporting
Tech Stack
PythonTimescaleDBKafkaPrefectGrafanadbtWeb3.py
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