You will get Optimized SQL Queries for Better Performance
Project details
This project focuses on improving the performance of slow or inefficient SQL queries by identifying optimization opportunities and performance bottlenecks.
It is ideal for teams or individuals working with relational databases who are experiencing long execution times, high resource usage, or poorly optimized joins and filters.
I review up to three SQL queries and analyze execution patterns, joins, indexing strategies, and filtering logic. Based on this analysis, I provide optimized query suggestions or clear, actionable recommendations to improve performance and efficiency.
This is a fixed-scope, analysis-only service. No production changes, deployments, or direct database modifications are included. The goal is to help you clearly understand what needs to be improved so your team can implement changes safely and confidently.
It is ideal for teams or individuals working with relational databases who are experiencing long execution times, high resource usage, or poorly optimized joins and filters.
I review up to three SQL queries and analyze execution patterns, joins, indexing strategies, and filtering logic. Based on this analysis, I provide optimized query suggestions or clear, actionable recommendations to improve performance and efficiency.
This is a fixed-scope, analysis-only service. No production changes, deployments, or direct database modifications are included. The goal is to help you clearly understand what needs to be improved so your team can implement changes safely and confidently.
Database Type
MySQL, Oracle, SQLite, PostgreSQL, TeradataWhat's included $20
These options are included with the project scope.
$20
- Delivery Time 1 day
- Number of Revisions 1
- Number of Queries 3
- Query Optimization
- Query Analysis
Optional add-ons
You can add these on the next page.
Additional Query
(+ 1 Day)
+$10Frequently asked questions
About Roy
Data Engineer
Howrah, India - 7:19 pm local time
I work primarily with AWS Glue, Apache Spark, Hadoop, SQL, Python, and shell scripting to design reliable ETL workflows and improve existing data pipelines.
My typical work includes:
• Building and maintaining batch ETL pipelines using AWS Glue and Spark
• Writing Python-based transformation logic and optimized SQL queries
• Handling data ingestion from relational databases and flat files into Amazon S3
• Performing pipeline health checks to identify reliability, performance, and cost issues
• Adding data validation, reconciliation, and quality checks
• Creating shell scripts for automation, monitoring, and log analysis
• Reviewing existing pipelines to improve stability and scalability
I prefer clearly defined, fixed-scope work such as pipeline reviews, ETL fixes, SQL optimization, and small automation tasks. My focus is on clean execution, practical solutions, and clear communication.
If you need help improving an existing data pipeline or building a simple, reliable ETL process, feel free to reach out.
Steps for completing your project
After purchasing the project, send requirements so Roy can start the project.
Delivery time starts when Roy receives requirements from you.
Roy works on your project following the steps below.
Revisions may occur after the delivery date.
Review SQL Queries
Analyze the provided SQL queries and understand the performance issues.
Optimization Analysis
Review joins, filters, indexes, and execution plans to identify bottlenecks.