You will get Combine and clean 40–300 Excel/CSV files into one master dataset
Project details
If you have dozens (or hundreds) of Excel/CSV files that don’t match, I’ll combine them into one clean master dataset you can filter, report, and trust. I standardize all column headers into a consistent schema, then normalize 2 key fields you choose (ex: Customer + Category) using a clear mapping log. Duplicates are flagged, not deleted, so you never lose records. You’ll also receive an audit/mapping table (canonical ↔ aliases + counts) and an ambiguity review list so you can approve anything uncertain before final delivery. Standard/Advanced include a simple pivot dashboard for quick insights.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$149
|
Standard
$549
|
Advanced
$1,399
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Pages Mined/Scraped | 40 | 150 | 300 |
Number of Sources Mined/Scraped | 40 | 150 | 300 |
Number of Revisions | 1 | 2 | 2 |
Optional add-ons
You can add these on the next page.
Add 1 normalized field
(+ 1 Day)
+$75
+25 extra files
(+ 1 Day)
+$125
Extra revision round
(+ 1 Day)
+$50Frequently asked questions
About Billy
Python Developer | Data Pipelines, Web Scraping, SQL & Automation
Smiths Station, United States - 1:56 am local time
I specialize in Python automation, web scraping, SQL database imports, file cleanup, and dashboards that make reporting faster and decisions easier.
Whether you need 50 spreadsheets standardized, a website scraped into CSV/JSON, or a dashboard built from raw business data, I deliver clean outputs, clear documentation, and a fast path to results.
Built Python workflows for data extraction, cleanup, transformation, and reporting
Created dashboards and analysis in Tableau, Excel, Python, and SQL
Worked on structured legal-data scraping and normalization projects with large hierarchical datasets
Comfortable with messy source data, duplicate handling, audit trails, and repeatable automation
Steps for completing your project
After purchasing the project, send requirements so Billy can start the project.
Delivery time starts when Billy receives requirements from you.
Billy works on your project following the steps below.
Revisions may occur after the delivery date.
Intake & confirm rules
Review sample files and confirm the 2 key fields, duplicate key (if any), and output format.
Create column map & dictionaries
Standardize headers into one schema and build canonical↔alias mappings + an ambiguity review list.