MySQL / PostgreSQL Architect for Data Systems in Sri Lanka
Bring in a senior consultant to design resilient data architecture, fix performance bottlenecks, and de-risk migrations—end to end.
Schedule a consultationIf your product is growing but your database layer is starting to feel fragile—slow queries, unpredictable load spikes, painful releases, or unclear recovery plans—you need more than “DBA support.” As a senior MySQL / PostgreSQL architect for data systems in Sri Lanka, I help teams design database platforms that stay fast, consistent, and recoverable while meeting real-world constraints like budget, latency, and operational maturity.
My work typically starts with an architecture and performance assessment: schema and indexing review, query profiling, connection management, replication and failover design, and a hard look at backup/restore and RPO/RTO. From there, I deliver a pragmatic plan—what to fix now for immediate wins (e.g., query plans, missing indexes, partitioning strategy, VACUUM/ANALYZE tuning, InnoDB settings), and what to change next for long-term stability (e.g., read/write splitting, HA topology, logical replication, sharding boundaries, data retention, and governance).
I’ve led production migrations and modernization projects such as MySQL-to-PostgreSQL transitions, major version upgrades, and re-platforming to managed services, with careful cutover planning and rollback paths. You’ll get clear documentation, runbooks, and training for your engineers so the solution is maintainable after the engagement—not a black box.
Whether you need a short advisory engagement or a hands-on architect embedded with your team, I focus on measurable outcomes: lower p95 latency, predictable throughput at peak, safer deployments, and confidence that your data is protected and recoverable.
What you get from a senior database architecture engagement
Performance tuning that sticks
Deep query analysis, indexing strategy, and configuration tuning for MySQL and PostgreSQL—paired with monitoring so improvements remain stable over time.
High availability & disaster recovery design
Right-sized replication, failover, backups, and restore testing with explicit RPO/RTO targets and step-by-step runbooks for incidents.
Migration & upgrade leadership
Plan and execute low-downtime upgrades and cross-engine migrations with validation, rehearsal cutovers, and rollback strategies.
Data governance, security & access patterns
Role design, least-privilege access, audit considerations, and data lifecycle policies that support compliance without slowing delivery.
“We brought in this consultant to stabilize our PostgreSQL platform and the impact was immediate—faster queries, a clear HA plan, and a recovery process we could actually trust.”
Frequently asked questions
- What’s the difference between a DBA and a MySQL/PostgreSQL architect for data systems?
- A DBA often focuses on day-to-day operations—user management, backups, routine maintenance, and responding to incidents. An architect designs the overall data platform: topology, scaling approach, failure modes, migration strategy, and the standards your team follows to keep performance and reliability predictable.
- Can you help if we’re not sure whether to use MySQL or PostgreSQL?
- Yes. I’ll evaluate your workload (transaction patterns, consistency needs, reporting/analytics, extension requirements, operational constraints) and recommend a fit with trade-offs explained. If a hybrid approach makes sense—e.g., PostgreSQL for core OLTP and a separate store for analytics—I’ll outline a clean integration plan.
- Do you handle MySQL-to-PostgreSQL migrations and major version upgrades?
- Yes—end to end. That includes schema and type mapping, data validation, dual-write or replication strategies where appropriate, cutover rehearsal, and a documented rollback plan so you’re never forced into a risky “big bang” switch.
- What do you need from us to start, and how quickly can we see results?
- To begin, I typically request read-only access to metrics/observability, anonymized slow query logs, schema snapshots, and a short incident history. Many teams see measurable improvements within the first 1–2 weeks through targeted query/index fixes, configuration adjustments, and clearer operational runbooks.