Enterprise Crypto Data Lake: Multi-Account Ingestion
Dozens of institutional accounts on a crypto exchange, audited continuously at >99.9% uptime, with full historical backfill from each account's inception. At the core, a rate limiter shared across processes reads the official consumed-quota header on every HTTP response, never an estimate from call counts, which eliminates the IP-ban pattern that existed before this architecture. A mandatory Bronze layer keeps the raw payload in JSONB and feeds a full Medallion model; loading runs through native PostgreSQL COPY, a temp table and UPSERT, sustaining tens of millions of records a year with credentials isolated in Azure Key Vault.
Case Study
Problem
Dozens of institutional accounts and sub-accounts on the same exchange needed continuous auditing, but the API quota ceiling was shared across every key, not per key, and each sub-system (spot, futures, convert, staking) returned a different response shape. Going over the limit banned the corporate IP over HTTP and stalled the entire audit until it lifted.
Solution
A rate limiter reads the official consumed-weight header on every HTTP response, never an estimate, with state shared across processes through managed memory to respect a single per-minute quota ceiling. A carousel prioritizes accounts with recent activity and pushes idle ones onto wider cycles, so quota never gets spent on accounts that haven't changed. Every load runs in bulk through native COPY, a temp table and UPSERT, with a JSONB checkpoint that resumes from the exact point of any interruption.
Impact
Full historical backfill since each account's opening, some going back to 2019, and the end of the ban pattern that predated this architecture. Tens of millions of records processed per year, with the pipeline sustaining >99.9% uptime.
Need to audit institutional accounts on an exchange without tripping rate limits? Let's design that ingestion for your context.
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