Database performance you can rely on

PostgreSQL, Oracle, and Elasticsearch optimization, migrations, and architecture. Fast queries, reliable systems, and databases that scale with your business.

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Slow queries that impact user experience and productivity

Oracle licensing costs driving you toward PostgreSQL

Database that struggles under increasing load

Elasticsearch cluster that's unreliable or hard to manage

Performance Tuning

Query optimization, index analysis, configuration tuning—find and fix the bottlenecks slowing you down.

Database Migrations

Oracle to PostgreSQL migrations with minimal downtime. Schema conversion, data migration, and application updates.

Schema Design

Data modeling that supports your application's needs—normalized for transactions, optimized for analytics.

Elasticsearch Consulting

Index design, mapping optimization, query tuning, and cluster management for reliable search infrastructure.

Database Systems

PostgreSQL Oracle Elasticsearch MySQL AWS RDS Aurora

Related Case Study

E-commerce Query Optimization

Diagnosed and resolved performance issues in a PostgreSQL database supporting a high-traffic e-commerce platform. Identified missing indexes, optimized slow queries, and tuned configuration.

97%

Faster query times

View case studies →

Do you support Oracle to PostgreSQL migrations?

Yes, Oracle to PostgreSQL migration is one of my specialties. I handle schema assessment, data type mapping, PL/SQL to PL/pgSQL conversion, data migration, and application code updates. I work with tools like AWS SCT and DMS when appropriate, and can plan migrations to minimize downtime.

What database systems do you work with?

My primary expertise is in PostgreSQL, Oracle, and Elasticsearch. I also work with MySQL, AWS RDS, Aurora, and Redshift. For most projects involving relational databases, PostgreSQL is my recommendation—it's powerful, cost-effective, and handles most workloads excellently.

How do you approach performance optimization?

I start by analyzing slow query logs and execution plans to identify the actual bottlenecks—not guessing. Then I address issues systematically: query rewrites, index optimization, configuration tuning, and if needed, schema changes. I provide before/after metrics so you can see the improvement clearly.