Query Performance Tuning Resume Project Example
A query performance tuning engagement that diagnosed slow reporting queries with actual execution plans, redesigned covering indexes, and reduced average report runtime without schema redesign.
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MARCUS WEBB
SQL Developer
Project
Query tuning
Plan-driven- Diagnosed slow queries with actual execution plans and DMVs.
- Added covering indexes that eliminated key lookups.
- Cut average report runtime with parameterized queries.
Why this project is valuable
Performance specialist signal
Query tuning shows you read plans, understand I/O, and fix bottlenecks—a core SQL developer skill.
Good ATS coverage
Supports execution plans, index design, DMVs, wait statistics, and query optimization keywords.
Measurable DBA partnership
Faster reports and lower CPU during business hours are outcomes operations teams value.
Good interview depth
Discuss plan operators, sargability, parameter sniffing, and index trade-offs.
Project overview
Query performance tuning is credible SQL developer resume material because slow queries are the most common escalation DBAs and app teams hand to database developers.
Reporting queries against a 200M-row fact table scanned wide indexes and spilled sorts to tempdb; analysis with actual plans and wait stats led to covering indexes, query rewrites for sargable predicates, and optional recompile hints for skewed parameters.
On a resume, that gives you ways to describe SSMS plan analysis, index INCLUDE columns, DMV investigation, and before/after duration metrics tied to business report SLAs.
Architecture overview
Project flowSlow query identification
Query Store and DMVs surfaced top duration and CPU offenders during business hours.
Actual plan capture
SSMS actual plans revealed key lookups, implicit conversions, and sort spills.
Index redesign
Covering indexes aligned with filter and join columns to enable seek-plus-cover plans.
Query rewrite
Predicates rewritten for sargability; unnecessary functions removed from WHERE clauses.
Parameter sniffing fix
OPTION RECOMPILE applied selectively where skewed parameters caused bad cached plans.
Regression monitoring
Post-change Query Store baselines confirmed sustained runtime improvement.
What this project includes
- Query Store and DMV baseline analysis
- Actual execution plan review in SSMS
- Covering index design with INCLUDE columns
- Sargability and predicate rewrites
- Parameter sniffing mitigation
- Before/after duration documentation
Tech stack
Performance tuning stacks on SQL Server center on plans, indexes, and DMVs—not visualization layers or ETL orchestrators alone.
SSMS
Captures actual execution plans and compares operator costs before and after changes.
Execution Plans
Reveals lookups, spills, implicit conversions, and missing index suggestions.
T-SQL
Rewrites queries for sargable filters and efficient join orders.
DMVs
Surfaces wait stats, cache plans, and top resource-consuming statements.
Query Store
Tracks plan regressions and runtime trends after index deployment.
SQL Server
Hosts indexes, statistics, and the reporting workload under tuning.
Features implemented
Plan-driven diagnosis
Changes follow evidence from actual plans, not guesswork.
Covering indexes
Seek-plus-cover plans eliminate expensive key lookups on large tables.
Sargable predicates
Rewritten filters allow index seeks instead of scans.
Parameter sniffing awareness
Selective recompile handles skew without blanket plan instability.
Wait stat correlation
PAGEIOLATCH and CXPACKET waits informed index and parallelism choices.
Sustained monitoring
Query Store confirms improvements hold after statistics refreshes.
Resume bullet examples
These bullets present tuning as database performance engineering.
- Diagnosed top-duration reporting queries using SSMS actual execution plans and Query Store, identifying key lookups and sort spills on a 200M-row fact table.
- Designed covering indexes with INCLUDE columns that enabled seek-plus-cover plans and reduced average report runtime from 45s to under 8s.
- Rewrote non-sargable predicates causing implicit conversions and applied selective OPTION RECOMPILE for skewed parameter workloads.
- Documented before/after DMV and Query Store baselines for DBA review and ongoing regression monitoring.
Skills demonstrated
This project demonstrates execution plan analysis, index design, and SQL Server performance troubleshooting.
Diagnosis
Remediation
Operations
ATS keywords extracted from this project
Emphasize plan and index keywords over BI tool names.
Interview questions based on this project
Tuning projects invite plan operator and index design questions.
What did the plan show was wrong?
Key lookups on a wide fact table after a non-covering seek, plus a sort spilling to tempdb because the index did not cover ORDER BY columns.
Why a covering index instead of a view?
The bottleneck was I/O on base table access; a covering index fixed the seek path without adding maintenance overhead of a new view layer.
How did you handle parameter sniffing?
Query Store showed plan instability across parameter values; OPTION RECOMPILE on the skewed report was safer than a blanket optimize-for-unknown.
How would you improve it further?
Partition the fact table by date to reduce scan scope for range-bound reports.
Common mistakes
Name plans, indexes, and measured runtime—not generic speed claims.
Frame work around SQL Server queries and indexes, not Tableau.
Acknowledge write overhead and how you limited index count.
Before/after duration or reads make impact credible.
FAQ
Is query tuning a good SQL developer project?
Yes. Performance troubleshooting is a high-signal skill for SQL developer and DBA-track roles.
Can I demo on Express edition?
Yes. Use a sizable sample database and honest plan captures; methodology matters more than production scale.
Should I mention Query Store?
Yes if you used it—it shows modern SQL Server monitoring familiarity.
How many bullets should I use?
Two to four bullets on diagnosis, index design, rewrites, and measured improvement.
Turn project details into resume evidence
Use this query tuning project to strengthen your SQL developer resume
Present execution plan analysis, index design, and recruiter-friendly performance outcomes with stronger keyword alignment.
Free to start · No credit card required