You will get I will build a NLQ agent for your SQL Server, MySQL or ClickHouse database
Rising Talent
Project details
You will get a fully working natural language query agent deployed for your database — allowing you and your team to ask questions in plain English and get instant results, without writing a single line of SQL.
I built AskMyDB (live at askmydb.app) — a production NLQ agent running on Azure Functions (Python backend) and React frontend, powered by GPT-4o. It connects to SQL Server, MySQL, and ClickHouse, reads your schema automatically, generates dialect-correct SQL, and returns results as an interactive table or auto-detected chart. Tested against a 1 billion+ row real-world dataset.
I will deploy a custom instance of this agent for your database — configured for your schema, your data patterns, and your team.
I built AskMyDB (live at askmydb.app) — a production NLQ agent running on Azure Functions (Python backend) and React frontend, powered by GPT-4o. It connects to SQL Server, MySQL, and ClickHouse, reads your schema automatically, generates dialect-correct SQL, and returns results as an interactive table or auto-detected chart. Tested against a 1 billion+ row real-world dataset.
I will deploy a custom instance of this agent for your database — configured for your schema, your data patterns, and your team.
Database Type
MySQL, MS SQLWhat's included $500
These options are included with the project scope.
$500
- Delivery Time 5 days
- Number of Revisions 1
Optional add-ons
You can add these on the next page.
Fast 3 Days Delivery
+$100
Additional Database Support
(+ 1 Day)
+$150
User Authentication
(+ 2 Days)
+$150
Custom Domain Setup
(+ 1 Day)
+$100Frequently asked questions
About NItin
SQL Server Expert | Data Engineer | Microsoft Fabric & Power BI Consul
Kharar, India - 6:01 pm local time
I am a Senior SQL Developer and Data Engineer with 25+ years of experience delivering database, analytics, ETL, and reporting solutions across Digital Marketing, US Healthcare, Retail, and Analytics domains.
My expertise spans traditional SQL Server environments as well as modern cloud and analytics platforms including Microsoft Fabric, Azure Data Factory, Databricks, Power BI, ClickHouse, and Python.
Over the course of my career, I have:
✔ Designed and optimized SQL Server solutions supporting datasets exceeding 500 million records
✔ Migrated more than 1 billion records into ClickHouse analytical platforms
✔ Built Microsoft Fabric Lakehouse and Warehouse solutions using Medallion Architecture
✔ Developed enterprise ETL pipelines integrating APIs, cloud platforms, and business systems
✔ Delivered Power BI reporting and analytics solutions for operational and executive teams
✔ Built AI-powered data enrichment workflows using Gemini and third-party APIs
✔ Built and deployed AskMyDB — a natural language SQL query agent supporting ClickHouse, SQL Server, and MySQL. Live at askmydb.app.
Services I Provide:
• SQL Server Performance Tuning & Query Optimization
• T-SQL Development (Stored Procedures, Functions, Views)
• Data Warehouse Design & Implementation
• ETL / ELT Development
• Microsoft Fabric Implementation
• Azure Data Factory Pipelines
• Power BI Reporting & Analytics
• Data Migration & Integration Projects
• ClickHouse Architecture & Optimization
• Database Design Reviews & Consulting
Industries:
• Digital Marketing & Martech
• US Healthcare
• Retail & Hospitality
• Business Intelligence & Analytics
Whether you need help optimizing a slow SQL Server database, building a modern data warehouse, implementing Microsoft Fabric, or creating reliable reporting solutions, I can help.
Available for fixed-price projects, hourly consulting, long-term contracts, and fractional data engineering engagements.
Steps for completing your project
After purchasing the project, send requirements so NItin can start the project.
Delivery time starts when NItin receives requirements from you.
NItin works on your project following the steps below.
Revisions may occur after the delivery date.
Database connection
Client shares database connection details, schema overview, and sample questions they want to ask.
Development
I connect to the database, read the schema, and configure the NLQ prompt for the client's specific data patterns and business rules.