I will do sql server performance tuning and query optimization
About this Gig
SQL Server Performance Tuning & Query Optimization
Are slow SQL queries impacting your system? I help businesses identify bottlenecks, optimize queries, and improve SQL Server performance.
With 16+ years of experience, I specialize in T-SQL optimization, execution plan analysis, and index tuning for large datasets and complex workloads.
Services:
- Optimize slow SQL queries & stored procedures
- Analyze execution plans to find bottlenecks
- Index tuning (create/modify/remove)
- Improve joins, CTEs, and query structure
- Database performance review & recommendations
What you get:
- Faster query execution
- Reduced CPU, IO, and memory usage
- Before vs After performance comparison
- Clear, actionable insights
Why choose me:
- 16+ years of database experience
- Strong focus on root cause analysis
- Reliable, scalable optimization solutions
Share your query or issueIll help you turn slow systems into high-performing ones.
Database type:
Relational database
Platform:
SQL Server
Expertise:
Data warehouse
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ERD
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Normalization
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SQL
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Performance
My Portfolio
FAQ
What do you need to start working on my query?
I need the SQL query or stored procedure, execution plan (if available), table structure, and a brief description of the issue (slow performance, high CPU, etc.).
How much performance improvement can I expect?
It depends on the query and database design, but I typically achieve significant reductions in execution time by optimizing queries and indexing strategies.
Will you make changes directly to my database?
No, I will provide optimized queries and recommendations. If you need implementation support, we can discuss it separately.
Can you help with large and complex databases?
Yes, I have 16+ years of experience working with large-scale SQL Server databases, complex queries, and high-volume systems.
Do you provide a performance report?
Yes, I provide a clear before-and-after comparison, along with explanations of improvements and recommendations.

