Orchestrates comprehensive performance audits across full-stack monorepos. Coordinates performance-expert,...
Data & Analytics
Data processing, analysis, visualization, and ML pipelines
702 スキル
Analytics and data analysis workflow skill
Design GraphQL schemas with federation, resolvers, dataloaders, n+1 query prevention, and schema stitching patterns
Design data pipelines with quality checks, orchestration, and governance using modern data stack patterns for robust...
Generate database migration scripts for Liquibase, Flyway, Alembic with rollback safety, data preservation, and...
Design MongoDB architectures with document modeling, indexing (ESR rule), sharding, aggregation pipelines, replica...
Optimize SQL and NoSQL databases with schema design, query performance tuning, and indexing strategies.
Design high-performance PostgreSQL databases with schema optimization, indexing strategies, partitioning,...
Design Redis architectures with caching patterns, data structures, eviction policies, persistence (RDB/AOF), and...
Design normalized database schemas with ERDs, migration plans, and indexing strategies for relational and document databases
Data journalism workflows for analysis, visualization, and storytelling. Use when analyzing datasets, creating...
Zero-build frontend development with CDN-loaded React, Tailwind CSS, and vanilla JavaScript. Use when building...
Implement analytics, data analysis, and visualization best practices using Python, Jupyter, and modern data tools.
Expert guidance for data analysis, visualization, and Jupyter Notebook development with pandas, matplotlib, seaborn,...
Data analysis best practices with pandas, numpy, matplotlib, seaborn, and Jupyter notebooks.
Guidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
Best practices for Matplotlib data visualization, plotting, and creating publication-quality figures in Python
MySQL development best practices for schema design, query optimization, and database administration
Best practices for Pandas data manipulation, analysis, and DataFrame operations in Python
PostgreSQL development best practices for schema design, query optimization, and database administration
Expert in Prisma ORM with type-safe database operations and schema design
Expert in Python development with best practices across web, data science, and automation
Redis development best practices for caching, data structures, and high-performance key-value operations
Expert guidance for Salesforce development including Apex, Lightning Web Components, and metadata best practices