You will get clean, structured, and validated Excel or CSV data
Project details
I will clean, standardize, and validate messy Excel or CSV data and return a structured dataset you can actually use.
I can handle duplicate records, inconsistent names, malformed values, missing data, formatting problems, irregular categories, and other common data-quality issues.
My process is validation-focused: I preserve the source data, apply repeatable cleaning rules, reconcile the output against the input, and flag ambiguous records rather than silently guessing.
You will receive the cleaned dataset plus a clear summary of what was changed, what was validated, and any records that may require your review.
This service is ideal for supplier catalogs, product data, inventory files, business lists, exports, and other structured Excel/CSV datasets.
I can handle duplicate records, inconsistent names, malformed values, missing data, formatting problems, irregular categories, and other common data-quality issues.
My process is validation-focused: I preserve the source data, apply repeatable cleaning rules, reconcile the output against the input, and flag ambiguous records rather than silently guessing.
You will receive the cleaned dataset plus a clear summary of what was changed, what was validated, and any records that may require your review.
This service is ideal for supplier catalogs, product data, inventory files, business lists, exports, and other structured Excel/CSV datasets.
Data Tool
Microsoft ExcelWhat's included
| Service Tiers |
Starter
$35
|
Standard
$95
|
Advanced
$195
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 2 |
Number of Pages Mined/Scraped | 1 | 2 | 3 |
Number of Sources Mined/Scraped | 1 | 2 | 3 |
Frequently asked questions
About Delfry
Python ETL & Data Automation | Scraping & Data Cleaning
Yonkers, United States - 6:50 am local time
My work combines Python automation, ETL, data extraction, cleaning, validation, and structured exports to solve practical data problems and reduce repetitive manual work.
I can help with:
• Python ETL and repeatable data-processing workflows
• Web scraping and public-data extraction
• Excel and CSV data cleaning
• Data extraction and transformation
• Duplicate detection and reconciliation
• Product and supplier catalog cleanup
• Data validation and exception reporting
• Preparing structured data for imports, analysis, or business systems
I take a conservative approach to data quality: ambiguous records are flagged for review rather than silently guessed or overwritten.
My background in business, accounting, and operations helps me understand the business meaning behind the data—not just the technical transformation.
If you have a messy dataset or repetitive data-processing task, send me a sample and describe the output you need. I can review the structure and explain how I would approach it.
Steps for completing your project
After purchasing the project, send requirements so Delfry can start the project.
Delivery time starts when Delfry receives requirements from you.
Delfry works on your project following the steps below.
Revisions may occur after the delivery date.
Inspect and validate the source data
Review the files, requirements, structure, and data-quality problems before processing.
Clean and standardize the dataset
Apply the agreed rules for duplicates, formatting, missing values, inconsistent fields, and other issues.