You will get I will optimize SQL Server queries, stored procedures, and databases
Rising Talent
Project details
Optimize Your SQL Server for Maximum Performance and Reliability:
Are your SQL Server queries running slowly? Are reports taking too long to load? Do you need to optimize stored procedures, indexes, or database performance?
I will analyze, optimize, and improve your SQL Server database to deliver faster query execution, better scalability, and reliable performance.
With years of professional experience as a Senior Data Engineer, I specialize in SQL Server optimization, performance tuning, ETL development, and database architecture for enterprise applications.
Services Included:
✔ SQL Query Optimization
✔ Stored Procedure Optimization
✔ Index Analysis & Optimization
✔ Execution Plan Analysis
✔ SQL Performance Tuning
✔ Database Design Review
✔ Database Normalization
✔ SQL Debugging & Troubleshooting
✔ Views & Functions Optimization
✔ Trigger Optimization
✔ Query Refactoring
✔ Deadlock Analysis
✔ Blocking Issue Resolution
✔ SQL Server Maintenance
✔ Data Cleanup
✔ Performance Reports
✔ Documentation
Are your SQL Server queries running slowly? Are reports taking too long to load? Do you need to optimize stored procedures, indexes, or database performance?
I will analyze, optimize, and improve your SQL Server database to deliver faster query execution, better scalability, and reliable performance.
With years of professional experience as a Senior Data Engineer, I specialize in SQL Server optimization, performance tuning, ETL development, and database architecture for enterprise applications.
Services Included:
✔ SQL Query Optimization
✔ Stored Procedure Optimization
✔ Index Analysis & Optimization
✔ Execution Plan Analysis
✔ SQL Performance Tuning
✔ Database Design Review
✔ Database Normalization
✔ SQL Debugging & Troubleshooting
✔ Views & Functions Optimization
✔ Trigger Optimization
✔ Query Refactoring
✔ Deadlock Analysis
✔ Blocking Issue Resolution
✔ SQL Server Maintenance
✔ Data Cleanup
✔ Performance Reports
✔ Documentation
Database Type
MySQL, MS SQL, Oracle, SQLite, PostgreSQL, MongoDB, Teradata, Azure Cosmos DBWhat's included
| Service Tiers |
Starter
$49
|
Standard
$199
|
Advanced
$599
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 5 days |
Number of Revisions | 2 | 3 | 8 |
Number of Queries | 5 | 10 | |
Query Debugging | |||
Query Optimization | |||
Query Scheduling | - | ||
Query Analysis | |||
Source Code | - | - |
Frequently asked questions
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EE
Emil E.
Sep 16, 2025
Part-Time DAX Expert
About Asif
Senior Data Engineer | Azure | Databricks | ETL | Power BI
Lahore, Pakistan - 2:49 pm local time
I am a Certified Data Engineer with 5+ years of experience designing and implementing enterprise data pipelines, cloud data warehouses, real-time analytics platforms, and interactive business intelligence dashboards that enable organizations to make faster, data-driven decisions.
I specialize in building high-performance ETL/ELT pipelines, modern data lakehouse architectures, and advanced analytics solutions that process millions of records daily while ensuring reliability, scalability, and cost efficiency.
I also help organizations modernize legacy data infrastructure, migrate on-premise systems to cloud platforms, and implement automated data workflows that support business intelligence, machine learning, and AI-driven decision systems.
Recent Impact
• Built scalable ETL pipelines processing millions of records daily using Azure Data Factory and Databricks
• Designed enterprise data warehouses and lakehouse architectures using Medallion Architecture and Delta Lake
• Implemented real-time data streaming pipelines using Kafka and Spark Structured Streaming
• Developed Power BI dashboards and semantic models for large-scale analytics and executive reporting
What I Can Help You With
✔ Data Engineering & ETL/ELT Pipelines
Design and development of scalable data pipelines using Azure Data Factory, Microsoft Fabric Dataflows, Databricks, Apache Spark, PySpark, dbt, and Airflow.
✔ Modern Data Warehouse & Lakehouse Architecture
Building enterprise data platforms using Medallion Architecture, Delta Lake, Star Schema, and Dimensional Modeling.
✔ Microsoft Fabric & Azure Data Platform
Development of Lakehouse solutions using Microsoft Fabric, OneLake, Synapse, Azure Data Factory, Azure Data Lake, and Azure Databricks.
✔ Real-Time Data Streaming
Implementation of streaming pipelines using Kafka, Event Hub, and Spark Structured Streaming.
✔ Power BI & Advanced Analytics
Creating Power BI semantic models, Direct Lake models, optimized DAX measures, and high-performance dashboards for large-scale datasets.
✔ Cloud Data Platform Migrations
Migration of on-premise databases and legacy data warehouses to Azure, Microsoft Fabric, Snowflake, Databricks, and BigQuery.
✔ AI & Automation Solutions
Building AI agents, Generative AI pipelines, NLP workflows, and AI-powered automation systems integrated with enterprise data platforms.
Core Technologies & Tools
Cloud Platforms
Azure • Microsoft Fabric • AWS • Google Cloud
Data Engineering
Azure Data Factory • Databricks • Apache Spark • PySpark • dbt • Airflow • Kafka • Event Hub
Data Warehousing & Lakehouse
Snowflake • BigQuery • Delta Lake • Medallion Architecture • Star Schema • Data Modeling
Analytics & BI
Power BI • DAX • Power Query • Semantic Models • Direct Lake
Programming & Development
Python • SQL • PySpark • Scala • REST APIs • Webhooks
AI & Automation
Generative AI • AI Agents • Prompt Engineering • NLP Pipelines • MLOps
Industry Experience
I have delivered enterprise analytics and data platforms for:
• Healthcare Analytics
• Finance & Banking Data Systems
• SaaS Product Analytics
• Manufacturing Intelligence
• Enterprise Reporting Platforms
My Approach
I focus on business-first data architecture, scalable cloud-native data platforms, cost optimization, and secure AI integration with production-grade reliability.
My goal is to build data systems that are scalable, reliable, and easy to maintain while enabling organizations to extract real value from their data.
✅ If you're looking for a Senior Data Engineer who can design, build, optimize, and automate your entire data ecosystem using Azure, Microsoft Fabric, Databricks, Snowflake, and Power BI, let's connect.
Steps for completing your project
After purchasing the project, send requirements so Asif can start the project.
Delivery time starts when Asif receives requirements from you.
Asif works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
Review your requirements, business goals, data sources, and expected output. Clarify any technical details before development begins.
Design and Development
Design the ETL workflow, data mapping, pipeline architecture, and integration strategy based on your requirements. Build and configure Azure Data Factory pipelines, data transformations, scheduling, and automation with best practices.