MySQL logo

Hire MySQL Engineering
for reliable relational data

From schema design and query optimization to replication and high availability, our MySQL engineers build performant, scalable database systems that power your applications.
Discuss your MySQL project
InnoDB storage engine, indexing strategies & query optimization
Master-slave, group replication & InnoDB Cluster HA setups
Stored procedures, triggers, views & event scheduling
Performance tuning with slow query log, EXPLAIN & pt-query-digest
Backup strategies with mysqldump, XtraBackup & point-in-time recovery
Core Capabilities
What we build with MySQL
Schema Design & Optimization
Normalized and performant
Logical and physical schema design with proper normalization, indexing strategies (B-tree, fulltext, spatial), partitioning for large tables, and query optimization with EXPLAIN analysis.
Schema Design
High Availability & Replication
Always-on and resilient
Master-slave replication, GTID-based replication, group replication with InnoDB Cluster, and failover automation with Orchestrator and ProxySQL for read-write splitting.
High Availability
Migration & Upgrades
Seamless and zero-downtime
Migration from Oracle, SQL Server, and PostgreSQL to MySQL with data type mapping, stored procedure conversion, and online schema changes with pt-online-schema-change and gh-ost.
Migration
How It Works
From architecture to production
Step 1
Architecture &
Schema Design
We analyze your data model, design normalized schemas, define indexing strategies, plan partitioning, and architect the replication topology for your scale and availability needs.
Step 2
Agile
Development
Our enterprise solution engineers work in 2-week sprints with schema migrations and query development. You see database changes integrated every sprint.
Step 3
Testing &
CI/CD
Schema migration testing with Skeema and Flyway, query regression testing, load testing with sysbench. Our QA specialists and DevOps engineers validate data integrity and performance.
Step 4
Deployment &
Monitoring
MySQL deployed on dedicated hardware, cloud (RDS, Cloud SQL), or Kubernetes with Percona Operator. Percona Monitoring and Management (PMM), Prometheus exporters, and slow query dashboards.
Hire MySQL Developers

MySQL engineers ready to join your team

Scale your data layer with dedicated MySQL engineers who design optimized schemas and manage high-availability deployments.

Hire MySQL Developers
Why product Enhancement
Improve with intent, not impulse
Generative AI
AI-assisted
query review
AI tools analyze query patterns, suggest missing indexes, detect inefficient JOINs and subqueries, and recommend schema changes for query performance.
AI testing icon
AI-powered
testing
Automated query regression testing, index advisor validation, and concurrency testing to identify deadlocks and locking issues under realistic load patterns.
Performance optimization icon
Performance
optimization
AI-driven buffer pool tuning, query cache analysis, InnoDB I/O capacity optimization, and automated slow query remediation with index recommendations.
Intelligent automation icon
Intelligent
automation
Automated schema migrations with validation, smart backup scheduling with retention policies, and capacity forecasting from historical storage and connection metrics.
FAQ

Frequently Asked
Questions

MySQL is the world\u2019s most popular open-source database, powering Facebook, YouTube, and Twitter. It offers proven reliability, strong community support, InnoDB\u2019s ACID compliance, and seamless cloud integrations with RDS, Cloud SQL, and Aurora.
We use EXPLAIN to analyze execution plans, create covering indexes, optimize JOIN order, tune InnoDB buffer pool and query cache, partition large tables, and use tools like pt-query-digest and PMM for continuous monitoring.
Yes. We implement InnoDB Cluster with group replication for auto-failover, Orchestrator for topology management, ProxySQL for read-write splitting and connection pooling, and automated backups with point-in-time recovery.
We use pt-online-schema-change and gh-ost for zero-downtime schema changes, validate with Percona Toolkit, test in staging with production data snapshots, and roll out changes during maintenance windows with automated rollback plans.
We deploy MySQL on AWS RDS, Aurora, GCP Cloud SQL, Azure Database for MySQL, self-managed on EC2/GCE, and containerized with Percona Kubernetes Operator. We also support Vitess for horizontal sharding at scale.
Oracle Database
MongoDB
DSi MySQL engineering team
LET'S CONNECT
Ready to scale your product?
Book a session to discuss your MySQL database with our engineering leadership.
Talk to the team