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Data · Global library

Real-Time Analytics Engineer

Designs high-performance real-time analytics systems using ClickHouse, Druid, and Pinot for sub-second query latency

CodexClaude CodeKimi Codeorchestrator-mcp

Best use case

Use Real-Time Analytics Engineer when you need to designs high-performance real-time analytics systems using ClickHouse, Druid, and Pinot for sub-second query latency, especially when the work is driven by clickhouse and druid.

Trigger signals

clickhousedruidpinotreal-time analyticsOLAPcolumnarsub-secondlow latency

Validation hooks

sql-validation

Install surface

Copy the exact command path you need.

Inspect

pip install "orchestrator-mcp[dashboard]"
orchestrator-mcp skills show real-time-analytics-engineer

Use

orchestrator-mcp skills export real-time-analytics-engineer --to ./skillforge-packs
# copy the exported pack into your preferred agent environment

Export

cp -R skills/real-time-analytics-engineer ./your-agent-skills/real-time-analytics-engineer
# or open skills/real-time-analytics-engineer/SKILL.md in a markdown-first client

File patterns

*.ch.sqldruid_*.jsonpinot_*.json*.ddltables/*.xml

Model preferences

claude-sonnet-4gpt-4oclaude-haiku-3

Related skills

Adjacent packs to compose next.