Service

Data architectures that stay fast as you grow

Whether you’re refactoring a legacy system or launching greenfield functionality, I’ll help you design data foundations that stay reliable under pressure.

Purpose-built schemas

Model data around business workflows to reduce complexity and unlock faster iteration across teams.

Operational excellence

Backups, failover, and observability built-in so data incidents become rare and recoverable.

Cloud ready

Managed database services, infrastructure-as-code, and automation to keep environments consistent across regions.

Core capabilities

  • Relational schema design with normalization where it matters
  • NoSQL modelling for high-throughput and flexible schemas
  • Query profiling, indexing strategies, and performance tuning
  • Data migration planning, dry runs, and cutover support
  • Backup, retention, and disaster recovery workflows
  • Security hardening, encryption, and access governance
  • Data warehousing and analytics pipelines
  • Documentation and onboarding for ongoing maintenance

How we’ll work together

01

Assess & benchmark

Review current data flows, pain points, and SLAs. Capture metrics to define what good looks like for your organization.

02

Design & implement

Create migration-safe schemas, stored procedures, and automation with pairing sessions for your team.

03

Enable & monitor

Roll out monitoring dashboards, runbooks, and training so operations stay smooth long after delivery.

What you’ll walk away with

  • Entity relationship diagrams and data dictionaries
  • Performance reports with before/after benchmarks
  • Infrastructure configs (Terraform/CloudFormation) checked into your repos
  • Automated backup, retention, and restore procedures
  • Knowledge transfer workshops and future roadmap recommendations

Tooling & stack

PostgreSQL & MySQLSQL Server & OracleMongoDB & DynamoDBAmazon RDS & AuroraBigQuery & SnowflakeAirflow & dbtPrisma & SequelizeGrafana & Prometheus

Let’s make your data infrastructure a competitive advantage

Reach out and we’ll chart a data architecture plan that balances velocity, reliability, and cost.