👨🏿💻 Diagnostic Rigor in Data Infrastructure
Senior SQL Server DBA • Azure SQL • AWS RDS • Always On I design resilient, observable database platforms and fix root causes—not symptoms.
🧠 Diagnostic Rigor Manifesto
Treat incidents as clinical cases, not tickets to close.
Eliminate pathology at the source: schema, plans, statistics, architecture.
High Availability is design property, not a feature toggle.
Backups are only real when restores are proven.
Telemetry before opinions; evidence before changes.
🛠 Core Tooling
🧩 Architecture Mental Model
[Applications] │ [Read Replicas / AG Secondaries] │ [Primary SQL Platform] │ [Telemetry Layer: XEvents | Query Store | DMVs] │ [Automation: dbatools | GitHub Actions] │ [Backups 3-2-1-1-0 + Restore Drills]
🚦 Featured Projects (Starter Cockpit)
- sql-diagnostic-toolkit
Purpose: Rapid clinical assessment of SQL Server health
Blocking chain collector (XEvents)
Parameter sniffing detector
AG latency & redo monitor
I/O saturation profiler Outcome: MTTR from hours → minutes
- dba-automation-lab
Purpose: Prevent the outage before it starts
dbatools patch orchestration
Backup validation (3-2-1-1-0)
Index & stats maintenance pipelines
Drift detection for configuration
- alwayson-runbooks
Purpose: Safe, repeatable HA/DR operations
Failover decision tree
Split-brain recovery steps
Read-only routing validation
- migration-playbooks
Purpose: Zero-downtime platform moves
SQL → Azure SQL MI patterns
AWS RDS Custom cutover
Data validation checklists
🧪 What I Work On
Performance engineering & Query Store forensics
Hybrid HA/DR across Azure & AWS
Secure data platforms (TDE, RLS, DDM, Audit)
Telemetry-first operations
Restore-tested backup strategy
🤝 Connect
I collaborate with teams where reliability is mission-critical and evidence beats guesswork.