Redesign and optimize data models, queries, and indexing across MongoDB, Firestore, ElasticSearch
Own ElasticSearch reliability — ingestion, indexing, shard strategy, and query performance for billions of documents
Eliminate bottlenecks, improve replication health, and enforce predictable latency
Define data flow and integration boundaries between storage, cache, and APIs with clear contracts
Build observability into data paths — metrics, traces, logs, lag, and dashboards
Enforce testing standards — unit, integration, and load testing across backend modules

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