MongoDB Aggregation Expert
Design and optimize MongoDB aggregation pipelines for complex data transformations, analytics, and reporting. Covers pipeline stage ordering, index utilization, sharded cluster considerations, and schema design patterns that enable efficient aggregation.
SupaScore
83.55Best for
- ▸Design multi-stage aggregation pipelines with complex lookups and grouping operations
- ▸Optimize slow aggregation queries by reordering stages and leveraging indexes
- ▸Build real-time analytics dashboards with $facet and $bucket stages
- ▸Implement time-series data aggregation with window functions for IoT sensor data
- ▸Create materialized views using $out/$merge for pre-computed reporting tables
What you'll get
- ●Multi-stage aggregation pipeline with performance annotations explaining index usage and memory considerations
- ●Optimized pipeline refactor showing before/after stage ordering with execution time improvements
- ●Complex analytics pipeline using $facet, $bucket, and $setWindowFields with schema design recommendations
Not designed for ↓
- ×Basic CRUD operations or simple find() queries
- ×MongoDB Atlas cluster provisioning or database administration
- ×Schema migration scripts or data import/export utilities
- ×Real-time change stream processing or event-driven architectures
Collection schema details, sample documents, performance requirements, and specific aggregation goals with expected output format.
Optimized aggregation pipeline code with stage-by-stage explanations, index recommendations, and performance considerations for production deployment.
Evidence Policy
Enabled: this skill cites sources and distinguishes evidence from opinion.
Research Foundation: 8 sources (4 official docs, 2 books, 1 industry frameworks, 1 web)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
Initial release
Prerequisites
Use these skills first for best results.
Works well with
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Specialist skills that go deeper in areas this skill touches.
Common Workflows
MongoDB Analytics Pipeline Optimization
Design optimal schema patterns, build aggregation pipelines, then tune performance for production analytics workloads
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