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@@ -16,8 +16,8 @@ _A sanitized data-engineering case study demonstrating a real-time FX streaming
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> **Quick Facts**
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> **Use-case:** real-time FX trades/quotes → enriched → analytics
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> **Stack:** GCP (Pub/Sub → Dataflow/Beam → BigQuery) + Composer; VPC-SC, CMEK
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> **Throughput:** ~6–7 M events/day (~250–400 events/sec); E2E p95 < 90 s
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> **Patterns-only:** no client code/data; fully sanitized
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> **Throughput:** ~6–7 M events/day (~250–400 events/sec); E2E p95 < 90 s
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> **Patterns-only:** no client code/data; fully sanitized
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> **Ops:** markdownlint + pre-commit; protected `main`; semver releases
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> **SLOs:** success ≥99.5%, p95 lat <90s, DLQ <0.5%
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> **Cost guardrails:** BQ partition/cluster, Dataflow autoscaling, logs-based budgets

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