Schema design
Relational models shaped around real business workflows — leads, agents, accounts — not a generic key-value dump.
PostgreSQL is the database behind almost every backend I ship: CRM systems, SaaS reporting platforms, and payroll tools where data integrity actually matters. I design schemas around how the business queries data, not just how it is entered.
Relational schemas for CRM, payroll, and multi-tenant SaaS products
Indexing strategies for reporting dashboards that stay fast as data grows
Data constraints and deduplication logic enforced at the database layer
Multi-tenant data isolation for SaaS platforms
Relational models shaped around real business workflows — leads, agents, accounts — not a generic key-value dump.
Indexes chosen for the reports and dashboards that actually get used, so pages stay fast once real data volume arrives.
Tenant isolation decided deliberately at the schema level — the kind of decision covered in my SaaS architecture writing.
Production systems built with PostgreSQL, with written case studies.