You will get Optimize Slow SQL Queries (PostgreSQL, MySQL, SQL Server)


Project details
Slow SQL queries can cripple performance. With 20+ years of database experience (Oracle, PostgreSQL, MySQL, SQL Server), I’ll analyze and optimize your queries for speed, efficiency, and scalability — with clear explanations and performance reports.
Database Type
MySQL, MS SQL, MS Access, Oracle, PostgreSQLWhat's included
| Service Tiers |
Starter
$150
|
Standard
$200
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 5 days |
Number of Revisions | 0 | 0 | 0 |
Number of Queries | 1 | 1 | 3 |
Query Debugging | |||
Query Optimization | |||
Query Scheduling | - | - | - |
Query Analysis | - | ||
Source Code | - | - |
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MS
Miikka S.
Jun 26, 2024
Payment Processor Integration Programmer
MR
Martyn R.
Feb 26, 2019
Delphi Developer required to analyse and document existing Delphi 7 application
A great experience working with Adriano, i will be pleased if we can work together again soon
About Adriano
Senior Backend & Data Engineer | FastAPI + Kafka + ETL Pipelines
Ichenhausen, Germany - 11:45 pm local time
20+ years shipping production systems. I specialize in:
• FastAPI microservices & real-time Kafka streaming
• Complex ETL/ELT pipelines (Oracle → PostgreSQL/BigQuery)
• SQL query tuning & performance rescues (12s → 300ms is normal)
• API integrations (Stripe, PayPal, ERP, custom REST)
• Docker + Azure/GCP cloud deployments
Recent wins on Upwork:
• Payment processor integration delivered in 8 days (5.0 rating, June 2024)
• Backend systems for Best Secret GmbH & Oetker Digital (Kafka + Java + PostgreSQL)
If your current setup is slow, breaking, or you need a new pipeline yesterday — I respond same day and usually ship working prototypes in 48–72 hours.
Steps for completing your project
After purchasing the project, send requirements so Adriano can start the project.
Delivery time starts when Adriano receives requirements from you.
Adriano works on your project following the steps below.
Revisions may occur after the delivery date.
Analyze your query and schema
Identify bottlenecks