You will get SQL Data Export & Migration for Multi‑Table Databases
Project details
This project makes moving your data from one system to another simple and stress‑free. I help you export the information you need and deliver it in clean, organized files that are easy to understand and ready to use. You won’t have to worry about missing records, confusing formats, or messy spreadsheets. I focus on accuracy, clear communication, and keeping the process smooth from start to finish. Whether you’re switching tools or just need your data cleaned up, this service gives you a reliable, professional solution that saves time and avoids headaches.
Database Type
MS SQLWhat's included
| Service Tiers |
Starter
$150
|
Standard
$300
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 3 | 6 | 9 |
Number of Queries | 5 | 5 | 5 |
Query Debugging | |||
Query Optimization | |||
Query Scheduling | |||
Query Analysis | |||
Source Code |
Frequently asked questions
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MV
Ma Asela V.
Feb 22, 2022
New to upwork OK - Everyone Will Be Hired
NIrmal is wonderful to work with. Very good freelancer and greatly recommended!
About Nirmal
Senior Data Engineer | Azure Cloud | ETL & Data Pipeline Specialist
Charlotte, United States - 5:49 pm local time
I design and implement end‑to‑end pipelines using Azure Data Factory (ADF), Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure SQL, Databricks, and serverless compute. My experience includes orchestrating complex workflows, optimizing ingestion patterns, and modernizing legacy ETL systems into cloud‑native frameworks.
Technical Capabilities
Azure Data Factory (ADF): Linked services, datasets, pipelines, triggers, parameterization, dynamic content, CI/CD integration
Azure Data Lake (ADLS): Hierarchical namespace design, partitioning strategies, security (RBAC, ACLs), lifecycle policies
ETL/ELT Engineering: Incremental loads, SCD handling, CDC, data quality checks, orchestration, error handling frameworks
Azure Synapse / SQL: Stored procedures, performance tuning, indexing strategies, distributed query optimization
Databricks / Python: Notebook‑based transformations, PySpark ETL, Delta Lake, schema evolution
Migration Work: On‑prem SQL Server → Azure SQL / Synapse, SSIS package modernization, pipeline re‑architecture
Automation: PowerShell, Python, API‑based integrations, DevOps pipelines
Engineering Approach
Build modular, reusable, parameter‑driven pipelines
Enforce data quality, lineage, and observability
Optimize for performance, cost, and maintainability
Deliver production‑ready solutions with logging, alerts, and documentation
If you need a cloud‑focused Data Engineer who can architect, build, optimize, or troubleshoot Azure‑based data systems, I can deliver solutions that are robust, scalable, and aligned with best practices.
Steps for completing your project
After purchasing the project, send requirements so Nirmal can start the project.
Delivery time starts when Nirmal receives requirements from you.
Nirmal works on your project following the steps below.
Revisions may occur after the delivery date.
1. Initial Review & Requirements
I start by reviewing your needs, understanding what data you want exported, and confirming access details. You’ll share any instructions, examples, or preferred formats.
2. Database Access & Assessment
I connect to your database (or review your provided dump) and assess the structure so I can plan a clean, accurate export.