Databases
Experienced database developer skilled in relational, NoSQL, and caching technologies.
Hire Me
I’ve worked extensively with a wide range of database technologies, from traditional relational systems to modern NoSQL and cache-driven engines. My focus is on creating efficient data structures and workflows that keep applications running smoothly.
I have been working with relational databases for over 18 years. While there have been many advancements in NoSQL and caching, relational databases remain the go-to choice for the primary data store in modern web applications because they provide reliable consistency, powerful query capabilities, and a proven framework for managing structured data at scale.
MySQL remains my primary choice for web applications because it delivers consistent performance and is easy to maintain.
Open source alternative to MySQL with enhanced JSON support and features.
PostgreSQL for complex queries, advanced data types, and applications that demand strict standards compliance and extensibility.
Provides multi-region database support with a serverless option for effortless scaling projects through AWS RDS managed services.
Worked extensively with Pervasive PSQL integrating ETL processes with Sage 300 CRE.
I work with Redis, DynamoDB, OpenSearch, and other NoSQL tools to deliver fast, reliable data solutions. These tools shine when dealing with large or unstructured datasets where relational databases can struggle.
I have used Redis for over 12 years now for fast in-memory caching and key value storage and vector storage for AI.
A community driven fork of Redis, I recently started using as a Redis alternative with a serverless setup through AWS Elasticache.
I've worked extensively with AWS’s serverless key/value & document database, making full use of global tables to enable multi-region support.
Built on Elasticsearch, I use AWS OpenSearch to deliver fast, powerful search capabilities across large datasets.
Powerful document storage engine, ideal for serverless websites and real-time analytics.
AWS's managed database service that is MongoDB-compatible. Serverless means it is easy to scale with high availability.
