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I will write sql queries, design databases, er diagrams and optimize sql
I will develop Azure, SQL, PySpark, Python and Power BI data solutions
Hi, I’m a Data Engineer helping businesses transform raw data into meaningful insights that support better decision-making and business growth.
Whether you need:
ETL/ELT pipeline development
Databric...
About this Gig
Are you looking for a SQL expert to help with database design, SQL queries, optimization, and database development?
You are in the right place.
I have 4+ years of experience working with SQL, databases, data analysis, and data engineering solutions. I can help you design, develop, optimize, and troubleshoot SQL databases efficiently.
Services I Offer
- SQL Queries
- Complex Joins
- Subqueries
- Views
- CTEs
- Window Functions
- Stored Procedures
- Triggers
- Functions
- Database Design
- ER Diagrams (ERD)
- Database Normalization
- SQL Optimization
- Data Cleaning
- Data Analysis using SQL
- Database Troubleshooting
- Database Technologies
- SQL Server
- MySQL
- PostgreSQL
- Oracle SQL
- SQLite
Why Choose Me?
Clean & Optimized Queries
Fast Response
On-Time Delivery
Quality Documentation
Reliable Support
Whether you need help with SQL queries, database schema design, ER diagrams, normalization, stored procedures, or performance optimization, I can provide professional and efficient solutions tailored to your requirements.
Please contact me before placing an order for large or custom projects.
Platform:
MS SQL
•
MySQL
•
PL/SQL
•
SQL Server
Expertise:
SQL
•
Normalization
•
Performance
•
Query optimization
My Portfolio
FAQ
Which databases do you support?
SQL Server, MySQL, PostgreSQL, Oracle SQL, and SQLite.
Can you write complex SQL queries?
Yes, including joins, subqueries, CTEs, window functions, stored procedures, and advanced SQL logic.
Can you create ER diagrams?
Yes, I can create professional ER diagrams and database schemas.
Can you optimize slow SQL queries?
Yes, I can analyze and optimize SQL queries for better performance.
What information do you need before starting?
Project requirements, database type, sample data (if available), and expected output.
