You regularly combine multiple files with inconsistent structures.
Service
Data Cleanup & Preparation
If files or exports are inconsistent, duplicated, or difficult to combine, I first make the data usable.
Problem
My files or exports are inconsistent, duplicated, difficult to combine, or unsuitable for reporting.
When this service is useful
Data contains wrong types, duplicates, inconsistent names, or inconsistent values.
Reporting depends on cleaning lookups, mappings, or reshaping data first.
Typical inputs
representative sample files or exports
available mappings or reference tables
known business rules for data cleanup
description of the expected output structure
What I do
combine multiple files
standardize columns and correct data types
deduplicate records
prepare mappings and lookup tables
clean inconsistent values
validate and reshape data
prepare reporting-ready datasets
What you receive
cleaned and structured dataset
repeatable transformation process where required
documented assumptions
output suitable for agreed reporting or analytical use
Scope boundaries
Scope and price are agreed after reviewing a representative sample.
Rules and assumptions are documented rather than hidden inside the transformation.
New sources or rules beyond the agreed sample may require an expanded scope.
How the project starts
You share a representative sample of the problematic data.
I define the expected output with you, including known rules and exceptions.
After reviewing the sample, I propose the project scope and fixed price.
Commercial model
The project is priced after reviewing a representative sample.