Database Management
MongoDB, PostgreSQL, and Supabase for data storage
Overview
Extensive experience with both SQL and NoSQL databases. Implemented MongoDB for flexible document storage and PostgreSQL/Supabase for relational data, ensuring optimal performance and data integrity.
In-Depth Experience
Designed and optimized database schemas for both SQL and NoSQL databases, handling millions of records with efficient query performance.
Implemented MongoDB for flexible document storage, designing schemas that balance query performance with data flexibility.
Built PostgreSQL databases with proper indexing, constraints, and relationships to ensure data integrity and optimal query performance.
Integrated Supabase for rapid development with built-in authentication, real-time subscriptions, and auto-generated APIs.
Implemented database migration strategies that allow safe schema changes without downtime or data loss.
Set up database replication and backup systems to ensure data durability and enable disaster recovery.
Optimized slow queries through indexing, query rewriting, and database configuration tuning to maintain fast response times as data grows.
Key Highlights
MongoDB document modeling
PostgreSQL optimization
Supabase integration
Data migration strategies
Technologies & Tools
Real Impact
"Managed databases with millions of records efficiently"
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