You will get SQL Server ETL optimization to reduce load times by 90%+
Rising Talent
Rising Talent
Project details
STOP WAITING 20+ MINUTES FOR YOUR DATA LOADS
I specialize in debugging and optimizing slow SQL Server ETL pipelines.
My approach isn't just "adding indexes"—it's architectural optimization based on execution plan analysis and advanced algorithms.
REAL-WORLD SUCCESS: OCTOPUS DIGITAL
At Octopus Digital, I identified a critical bottleneck in a production pipeline. A Senior Data Engineer's code was unnecessarily reloading historical data, causing timeouts.
• I analyzed the execution plan and refactored the logic using T-SQL window functions.
• Result: Load time reduced from 20+ minutes to under 5 seconds (99% improvement).
THEORETICAL BACKING:
My production work is backed by deep academic rigor. Under Dr. Asif Naeem, I implemented the HYBRIDJOIN algorithm for Data Warehousing, designing architectures capable of processing 15,000 records/second.
I combine this academic depth with practical production debugging to fix your slow queries.
WHAT I FIX:
✅ Slow Stored Procedures & Views
✅ Inefficient Joins & Missing Indexes
✅ Deadlocks & Blocking Issues
✅ ETL Pipeline Bottlenecks
Send me your slow query or execution plan. I'll tell you exactly why it's slow and how I'll fix it.
I specialize in debugging and optimizing slow SQL Server ETL pipelines.
My approach isn't just "adding indexes"—it's architectural optimization based on execution plan analysis and advanced algorithms.
REAL-WORLD SUCCESS: OCTOPUS DIGITAL
At Octopus Digital, I identified a critical bottleneck in a production pipeline. A Senior Data Engineer's code was unnecessarily reloading historical data, causing timeouts.
• I analyzed the execution plan and refactored the logic using T-SQL window functions.
• Result: Load time reduced from 20+ minutes to under 5 seconds (99% improvement).
THEORETICAL BACKING:
My production work is backed by deep academic rigor. Under Dr. Asif Naeem, I implemented the HYBRIDJOIN algorithm for Data Warehousing, designing architectures capable of processing 15,000 records/second.
I combine this academic depth with practical production debugging to fix your slow queries.
WHAT I FIX:
✅ Slow Stored Procedures & Views
✅ Inefficient Joins & Missing Indexes
✅ Deadlocks & Blocking Issues
✅ ETL Pipeline Bottlenecks
Send me your slow query or execution plan. I'll tell you exactly why it's slow and how I'll fix it.
Database Type
MySQL, MS SQL, PostgreSQLWhat's included
| Service Tiers |
Starter
$30
|
Standard
$100
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | Unlimited |
Number of Tables Added | 0 | 1 | 3 |
Schema Diagram | - | - | |
Permissions Setup | - | - | - |
Import/Export Data | - | ||
Admin Panel Setup | - | - | - |
Frequently asked questions
About Muhammad
Data Engineer & Analyst | Python, SQL, Tableau & ETL Pipelines
Rawalpindi, Pakistan - 12:02 pm local time
I transform messy, disconnected data into reliable pipelines and clear insights. With a background in Data Science and industry experience at Octopus Digital, I specialize in building systems that are not just functional, but high-performing.
What I Bring to Your Project:
High-Performance ETL: I build robust pipelines that handle scale. Example: Designed a near-real-time data warehouse capable of processing 15,000 records/sec using Python and optimized SQL algorithms.
Complex Data Integration: I can unify diverse data sources. Example: Fused 13 heterogeneous datasets into a single analytics platform for a global resilience project.
Advanced Analytics: From Tableau dashboards to statistical forecasting in R, I deliver visualizations that drive business decisions.
I prioritize clean code, modular design, and clear documentation. Let’s discuss how I can solve your data challenges.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Diagnostic Review
I will review your slow query, Python script, or Stored Procedure to identify the bottleneck (CPU, I/O, or Logic).
The Fix
I will rewrite the specific logic causing the slowdown (e.g., implementing incremental loading or adding indexes) and test it.