
Senior Database Engineer with 20+ years of experience designing, optimizing, and operating high-performance data platforms with deep specialization in SQL Server internals, query optimization, and scalable database architecture. Expert in execution plan analysis, indexing strategies, SQL Trace, Extended Events, and system-level performance tuning across large-scale, mission-critical environments.
Proven track record delivering cloud-native data solutions in Azure, including Azure SQL Database (Hyperscale concepts), Azure Managed Instance, and Azure Data Factory, with extensive experience leading on-prem to cloud migration initiatives and modernizing legacy data platforms. Strong background in 3rd Normal Form (3NF) data modeling, schema design, and building highly efficient transactional systems.
Hands-on experience with NoSQL and distributed databases, including Cosmos DB and Cassandra-based platforms, with expertise in partitioning strategies, denormalized data models, and high-throughput workload design aligned to access patterns.
Operates effectively in AI-driven SDLC environments, leveraging tools such as GitHub Copilot and generative AI to accelerate SQL development, refactor complex queries, and implement automated validation, anomaly detection, and self-healing data pipelines.
Collaborative engineering partner with strong experience aligning database architecture with application design,
SQL Server Azure SQL Database Azure SQL Managed Instance SQL Server Always On SQL Server Failover Cluster Instances PostgreSQL MySQL Amazon Aurora Cosmos DB Cassandra ScyllaDB Amazon Keyspaces Redshift
SQL Server ExpertiseSQL Server Architecture T-SQL Development Stored Procedures Functions Views Triggers Query Optimization Execution Plan Analysis Index Design Clustered / Nonclustered Indexing Covering Indexes Partitioning Data Compression TempDB Optimization Wait Statistics Analysis Blocking / Deadlock Analysis Parameter Sniffing Remediation Cardinality Estimation Query Store SQL Trace Extended Events DMVs PerfMon SQL Agent SSIS SSRS Backup / Restore DBCC Integrity Checks Capacity Planning
Azure Data & Cloud PlatformsAzure SQL Database Azure SQL Hyperscale concepts Azure Managed Instance Azure Data Factory Azure Storage Azure Blob Storage Azure Files Azure Virtual Machines Azure Networking fundamentals for database migrations Azure migration planning Cloud-native database architecture Hybrid cloud database operations Platform modernization Lift-and-shift migrations Replatforming strategies
NoSQL / Distributed Database ExpertiseCosmos DB Cassandra ScyllaDB Amazon Keyspaces Wide-column data modeling Partition key design Clustering key strategy Denormalized schema design TTL strategy High-throughput workload design Distributed read/write patterns Consistency models Replication concepts Horizontal scaling Query patterns for distributed systems Access-pattern-based schema design
Data Architecture & Modeling3rd Normal Form (3NF) Logical Data Modeling Physical Data Modeling Data Architecture Schema Design Referential Integrity Transactional data design OLTP system design Denormalization strategies Data lifecycle planning Archival design Partition-aligned table strategies Data standardization Metadata-driven design
Performance EngineeringExecution Plan Tuning Workload Analysis Query Refactoring Stored Procedure Optimization Index Tuning I/O Bottleneck Analysis CPU / Memory Pressure Analysis Concurrency Tuning Throughput Optimization Latency Reduction System-level performance diagnostics Database-level performance monitoring Baseline analysis Performance regression detection Capacity and growth forecasting
High Availability / Disaster RecoveryAlways On Availability Groups Failover Clustering Log Shipping Replication Backup / Restore Strategy Point-in-time recovery DR runbooks Failover planning Recovery testing Resiliency engineering Operational readiness Business continuity support
ETL / ELT / Data MovementAzure Data Factory SSIS ETL modernization ELT pipelines Batch ingestion CDC concepts DMS / Debezium familiarity Data transformation workflows Data validation Reconciliation checks Pipeline resiliency Automated data movement Cross-platform migrations
Operating Systems & PlatformsWindows Server Linux Ubuntu Red Hat / RHEL familiarity CentOS familiarity Microsoft Windows environments Hybrid infrastructure environments On-premises data center platforms Virtualized server environments Cloud-hosted database platforms
Infrastructure / DevOps / AutomationTerraform Git Git-based change control Jenkins CI/CD pipelines Infrastructure as Code Release automation Configuration-driven deployments Environment standardization Scripting for database administration PowerShell Bash Python for automation Runbook development Operational tooling
Monitoring / Observability / TroubleshootingDatadog Grafana Prometheus familiarity SQL Server monitoring Database health checks Alert tuning Incident response Root cause analysis Trend analysis Production troubleshooting Log analysis Cross-system observability Monitoring standardization
Security / Governance / ComplianceDatabase Security Least privilege principles Role-based access concepts Data protection practices Secure configuration review Audit support Change control Production access discipline Backup governance Compliance-aware operational processes
AI-Assisted EngineeringGitHub Copilot AI-assisted SQL development AI-assisted troubleshooting AI-assisted query refactoring AI-assisted documentation AI-assisted requirements translation into data models Generative AI support for database design iteration Automated validation workflows AI-augmented engineering productivity