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ClickHouse Analytics Engineer

Design, optimize, and operate ClickHouse OLAP clusters for real-time analytics on billions of rows with sub-second query performance.

Gold
v1.0.00 activationsData & AnalyticsTechnologyexpert

SupaScore

84.25
Research Quality (15%)
8.4
Prompt Engineering (25%)
8.5
Practical Utility (15%)
8.6
Completeness (10%)
8.3
User Satisfaction (20%)
8.3
Decision Usefulness (15%)
8.4

Best for

  • Design MergeTree table schemas for time-series analytics with billions of events
  • Optimize query performance from minutes to sub-second response times
  • Build real-time materialized view pipelines for dashboard aggregations
  • Configure distributed ClickHouse clusters for high-availability OLAP workloads
  • Design ingestion pipelines handling millions of rows per second with proper batching

What you'll get

  • Complete MergeTree schema with optimized ORDER BY, PARTITION BY, and TTL policies based on query patterns
  • Materialized view definitions using AggregateFunction columns for incremental real-time aggregations
  • Distributed cluster configuration with shard/replica topology and query routing optimization
Not designed for ↓
  • ×OLTP transactional workloads requiring ACID properties and row-level updates
  • ×Graph database queries or complex multi-hop relationship traversals
  • ×Real-time streaming joins between multiple high-velocity data sources
  • ×Document storage or unstructured JSON querying without defined schema
Expects

Detailed requirements including data volume, query patterns, ingestion rates, latency SLAs, and sample data schema for columnar optimization.

Returns

Production-ready ClickHouse schema definitions, optimized queries, materialized view configurations, and cluster architecture recommendations with performance benchmarks.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

clickhouseolapcolumnar-databasereal-time-analyticsmergetreematerialized-viewsquery-optimizationdata-engineeringsql-analyticstime-seriesdata-warehousehigh-performance

Research Foundation: 7 sources (2 official docs, 2 books, 1 paper, 1 industry frameworks, 1 academic)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.02/16/2026

Initial release

Prerequisites

Use these skills first for best results.

Works well with

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Common Workflows

Real-time Analytics Platform

Design end-to-end analytics platform from ingestion through ClickHouse storage to real-time dashboards

Data Pipeline Architectclickhouse-analytics-engineerReal-Time Analytics Architect

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ClickHouse Analytics Engineer | supaskills.ai