You will get Advanced Excel Data Cleanup & Validation | Metadata Reconciliation
Rising Talent
Project details
You’ll get a professional Excel data cleanup and comparison service that brings clarity and accuracy to your spreadsheets. With over 25 years of records‑management experience, I specialise in identifying inconsistencies, reconciling multi‑sheet datasets, and delivering structured, reliable results ready for business use.
Data Tool
Microsoft ExcelWhat's included
| Service Tiers |
Starter
$45
|
Standard
$125
|
Advanced
$275
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $60
Additional Revision
+$25
Extended Dataset Cleanup
(+ 3 Days)
+$100Frequently asked questions
About Craig
Senior Data Specialist | Excel Data Integrity & Records Management
Croydon, United Kingdom - 11:41 pm local time
With 25 years of experience supporting major energy and commercial clients like ExxonMobil and CBRE, I specialize in managing UK-wide Information Management Services (IMS) independently. My background includes coordinating metadata governance, validating large-scale data sets across multiple sites (Leatherhead, Fawley, Fife, Aberdeen), and executing annual destruction reviews. I self-taught advanced Excel techniques to streamline workflows, ensuring speed and accuracy for KPI reporting and compliance tasks.
Having managed full UK cluster responsibilities with no client-side supervision, I bring a senior-level ability to handle complex projects autonomously. I am now offering this depth of technical and governance expertise to help you maintain data quality and meet retention requirements efficiently.
Message me today if you need expert support with data integrity or records governance.
Steps for completing your project
After purchasing the project, send requirements so Craig can start the project.
Delivery time starts when Craig receives requirements from you.
Craig works on your project following the steps below.
Revisions may occur after the delivery date.
Review your files and confirm scope
Assess dataset size and structure before starting.
Clean and standardize data
Remove duplicates, fix headers, and format consistently.