You will get fix or optimize any SQL query (performance, logic, accuracy)
Project details
I can help fix and optimize SQL queries to ensure correct results, faster performance, and clean, readable code. Whether your query is slow, producing incorrect output, or failing due to logical or syntax issues, I follow a structured approach to analyze, optimize, and validate the solution.
My focus is not just on making the query work, but on improving efficiency and scalability using SQL best practices such as CTE, join optimization, and indexing. You’ll receive an optimized SQL query along with a clear explanation of what was fixed and why.
This service is ideal for developers, analysts, and businesses who want reliable, high-quality SQL without spending hours debugging or tuning queries themselves.
My focus is not just on making the query work, but on improving efficiency and scalability using SQL best practices such as CTE, join optimization, and indexing. You’ll receive an optimized SQL query along with a clear explanation of what was fixed and why.
This service is ideal for developers, analysts, and businesses who want reliable, high-quality SQL without spending hours debugging or tuning queries themselves.
Database Type
MySQL, MS SQL, SQLite, PostgreSQLWhat's included
| Service Tiers |
Starter
$75
|
Standard
$125
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 2 days | 2 days | 3 days |
Number of Revisions | 1 | 1 | 2 |
Source Code |
Optional add-ons
You can add these on the next page.
Extra Query
(+ 1 Day)
+$50About Anupriya
Data Engineer | SQL | Snowflake | dbt | Python
San Diego, United States - 7:55 pm local time
I help teams clean, transform, and model data using SQL, Python, Snowflake, and dbt , so analytics teams can trust their numbers.
What I Can Do for You
🔹 Advanced SQL querying (CTEs, window functions, optimization)
🔹 Snowflake data warehouse design & performance tuning
🔹 dbt models (incremental loads, tests, sources, docs)
🔹 Python data processing & automation (pandas, PySpark)
🔹 Building fact & dimension tables (star schemas)
🔹 Incremental & batch ETL/ELT pipelines
🔹 Making datasets analytics-ready for BI tools
How I work:
âś” Clean, readable, well-tested SQL
âś” dbt projects structured for long-term growth
âś” Strong data modeling fundamentals
âś” Comfortable with messy, real-world datasets
âś” Clear documentation & handoff
Tools & Tech Stack
Core Skills
• SQL (complex joins, CTEs, window functions, query tuning)
• Python (pandas, PySpark, automation scripts)
Warehouse & Transformation
• Snowflake (storage, compute, optimization)
• dbt (incremental models, tests, exposures, documentation)
Cloud & Data
• AWS (S3, Glue, DynamoDB, Kinesis, Lambda - project experience)
• Spark / PySpark
Project Highlights
âś… Built Snowflake + dbt models to transform raw order data into analytics-ready fact tables
âś… Implemented incremental dbt pipelines with data quality tests
âś… Used Python & PySpark to ingest and clean large CSV datasets
âś… Designed dimensional models for customer, sales, and product analytics
âś… Optimized SQL queries to reduce reporting latency
Who I Work Best With
âś” Teams using Snowflake + dbt
âś” Startups building their first data warehouse
âś” Companies with slow or unreliable SQL pipelines
âś” Analytics teams needing clean, well-modeled tables
If you need strong SQL, reliable Snowflake pipelines, or clean dbt models, I’m ready to help.
Let’s build data systems that scale.
Steps for completing your project
After purchasing the project, send requirements so Anupriya can start the project.
Delivery time starts when Anupriya receives requirements from you.
Anupriya works on your project following the steps below.
Revisions may occur after the delivery date.
Analyze SQL Query
I will review the provided SQL query to understand its intent, logic, and current performance issues.
Identify Issues
Identify syntax errors, logical flaws, inefficient joins, missing indexes, or performance bottlenecks.