Repeatable cleaning pipelines
Power Query or Python transformations you can rerun, not a one-time manual cleanup.
United States · Los Angeles · Data cleaning
DTC data cleaning in LA is mostly SKU reconciliation. The same product carries different identifiers in Shopify, the 3PL file and the Amazon report, and every blended margin figure depends on a mapping table nobody owns.
Abhishek
Abhishek Singh
Akhilesh
Prahalad
ShaktiA remote team of Excel and spreadsheet specialists. You work directly with the person building your file, from the first question to the final handover. More about us.
A typical job here
Typically 10–18 hours. Unusual cases land outside that, and we say so in the estimate rather than discovering it halfway through.
| Build an owned SKU-to-category mapping and reconcile channel data | 10–18 hours |
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Why Los Angeles specifically
Clients for this are typically in Downtown LA, Culver City, Burbank and El Segundo, across entertainment production, direct-to-consumer ecommerce, apparel, logistics around the ports, and agency and creative services. Production budgets, campaign spend and DTC margin sheets that update themselves.
For the wider picture of what we see in this market — the recurring problems, the source systems, how the time difference plays out — the Los Angeles guide covers it properly rather than repeating it on every service page.
10–18 hours is typical here. You get a number in writing before we start.
Unlocked files, documentation, recorded handover.
Full guide
This page covers one service. The city guide covers the whole picture, including the problems we see most in this market.
Excel experts in Los AngelesScope
Two of the things this covers most often for Los Angeles clients. The data cleaning page sets out the full scope and method.
Power Query or Python transformations you can rerun, not a one-time manual cleanup.
Finding where two systems diverge and, more usefully, why.
Power Query or a script, so next month is a refresh rather than a repeat.
What is actually in there, including the things nobody mentioned.
Need to check a feature before hiring? Read Microsoft’s official Excel help and learning for formulas, PivotTables, importing data and troubleshooting.
Questions
Answers for this service in this market, including the ones that might cost us the job.
Ask us something elseWhoever adds the products — usually marketing or merchandising, not finance. We build it so the people closest to the catalogue can update it without touching a formula, because a mapping maintained by the wrong team goes stale within a quarter.
Yes, and reconciling sources that disagree is a common engagement. Often the most valuable output is the explanation of why they differ, not the merged file.
It can be made much more resilient. We match columns by header name rather than position, add a check that reports which expected fields are missing, and fail visibly instead of quietly returning wrong numbers. Platforms will still change things; the file will just tell you when they have.
Related
Most projects touch more than one of these. We scope them together rather than selling them separately.
Same service elsewhere
Start with the problem
Send the workbook or describe the problem. An hours estimate back within a day, at no cost and no obligation.
Post your projectA short introduction
A short introduction to our Excel and spreadsheet work.
The short introductory video shows spreadsheet tables and dashboards, a person working on a laptop, and a message inviting viewers to post their project.