You will get clean, validated CSV or Excel data ready for analysis
Project details
Messy data wastes time and creates avoidable errors. I will clean, standardize, validate, and transform your CSV or Excel files into organized data that is ready for reporting, analysis, migration, or import.
Depending on the selected package, I can remove duplicates, standardize dates and identifiers, normalize text and numeric values, reconcile column structures, merge files or worksheets, flag missing or invalid records, apply business rules, and restructure the final output.
I will review your files and requirements before beginning, profile the data for quality issues, apply the agreed transformations, and validate the completed results before delivery.
You will receive cleaned CSV or Excel files in the requested structure. Reusable Python code and a written data-quality report are available as add-ons.
Your files and data will be handled confidentially and used only to complete the project. Complex business-rule development, manual research, external data enrichment, database work, or files beyond the selected package may require additional scope.
Depending on the selected package, I can remove duplicates, standardize dates and identifiers, normalize text and numeric values, reconcile column structures, merge files or worksheets, flag missing or invalid records, apply business rules, and restructure the final output.
I will review your files and requirements before beginning, profile the data for quality issues, apply the agreed transformations, and validate the completed results before delivery.
You will receive cleaned CSV or Excel files in the requested structure. Reusable Python code and a written data-quality report are available as add-ons.
Your files and data will be handled confidentially and used only to complete the project. Complex business-rule development, manual research, external data enrichment, database work, or files beyond the selected package may require additional scope.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$125
|
Standard
$300
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Mined/Scraped | 1 | 5 | 10 |
Number of Sources Mined/Scraped | 1 | 3 | 5 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$50
Additional Page Mined/Scraped
(+ 1 Day)
+$30
Additional Source Mined/Scraped
(+ 1 Day)
+$75
Reusable Python Cleaning Script
(+ 2 Days)
+$175
Written Data Quality Report
(+ 1 Day)
+$100Frequently asked questions
About Nick
Data Architect
Springfield, United States - 8:29 pm local time
I’m a Data Architect and Software Engineer with 8+ years of experience building data systems, backend applications, ETL workflows, APIs, and business automation. I specialize in turning complex or manual processes into maintainable software that improves accuracy, efficiency, and visibility.
I can help with:
• Python and SQL development
• ETL pipelines, data migrations, and system integrations
• REST APIs and backend services using FastAPI
• Data validation, cleansing, mapping, and quality analysis
• PostgreSQL, Redshift, S3, and AWS-based data workflows
• Web scraping and recurring data collection
• Dockerized applications and production deployments
• Internal dashboards, admin tools, and workflow automation
• Legacy system modernization and performance improvements
In my current work, I lead client data onboarding and integration initiatives for a SaaS platform, translating business and technical requirements into reliable data workflows. I also design tools for file intake, schema mapping, anomaly detection, validation, quality scoring, and export automation.
Previously at Amazon, I built Python applications, REST APIs, ETL processes, reporting automation, and analytics solutions using AWS, SQL, Redshift, S3, Tableau, and QuickSight. My automation work reduced process errors, eliminated repetitive manual tasks, and helped leadership make faster, data-driven decisions.
I’m comfortable owning a project from requirements through architecture, implementation, testing, deployment, and documentation. I communicate clearly, ask practical questions early, and build solutions that another developer can understand and maintain.
Whether you need a focused automation script or a complete data-backed application, I’ll approach the work with the same goal: deliver a dependable solution that solves the actual business problem.
Steps for completing your project
After purchasing the project, send requirements so Nick can start the project.
Delivery time starts when Nick receives requirements from you.
Nick works on your project following the steps below.
Revisions may occur after the delivery date.
Review files and confirm scope
I will review the supplied files, worksheets, row counts, requested changes, and output requirements to confirm that the selected package covers the work.
Profile and assess the data
I will examine the data for duplicates, missing values, inconsistent formats, invalid records, mismatched columns, and other quality issues.