📄️ Data Architecture
Master plan for designing scalable, maintainable data models and architecture patterns. Covers schema design, normalization strategies, data modeling techniques, and architectural patterns for databases and data warehouses.
📄️ Streaming Data
Master plan for building real-time data streaming pipelines and event-driven architectures. Covers message brokers, stream processing frameworks, event sourcing patterns, and operational best practices for high-throughput data systems.
📄️ Data Transformation
Master plan for building ETL/ELT pipelines and data transformation workflows. Covers pipeline orchestration, data quality frameworks, incremental processing strategies, and modern analytics engineering practices.
📄️ SQL Optimization
Master plan for query performance tuning and database optimization. Covers indexing strategies, execution plan analysis, query rewriting techniques, and database-specific optimization patterns for high-performance data access.
📄️ Secret Management
Master plan for secure handling of secrets, credentials, and sensitive configuration. Covers secret storage solutions, rotation strategies, least-privilege access patterns, and integration with CI/CD pipelines and application runtime environments.
📄️ Performance Engineering
Master plan for system-level performance tuning and profiling. Covers application profiling, resource optimization, caching strategies, load testing, and distributed system performance patterns for data-intensive workloads.