Summary#

Experience with SQL for production database systems, including schema design, query optimization, and integration with Python backends.

How I Apply This Skill#

• Designed relational schemas for note metadata, batches, and embeddings
• Implemented query optimization achieving 75% runtime improvement with B+ tree indexes
• Integrated SQL with Flask and FastAPI backends
• Stored structured metadata including tags, categories, and processing status
• Applied parameterized queries for SQL injection prevention

Key Strengths#

• Schema Design: Tables, relationships, constraints, normalization
• Query Optimization: Indexes, execution plans, performance analysis
• Python Integration: SQLAlchemy, raw SQL with parameterization
• Security: Prepared statements, input validation

Related Projects#

• Obsidian Notes Pipeline - PostgreSQL for metadata storage
• Query Optimization - SQLite 75% runtime improvement study
• Study Buddy - Microsoft SQL Server database integration