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Services · Excel Data Cleaning

Excel Data Cleaning Freelancer for Businesses That Run on Excel

Power Query pipelines that tidy, deduplicate and validate source data - and fail loudly when something drifts..

  • data cleaning
  • power query
  • validation
  • pipelines
10+ years in ExcelNamed senior ownerNDA signedFixed price, in writing30-day support

Bad data is the silent tax on every dashboard. The report renders. The numbers print. The board meeting happens. And somewhere a duplicate row, a missing ID or a date in 2099 was already wrong before any of it started - the report just faithfully reported it. CA firms see this on every reconciliation; finance teams see it on every month-end close.

The fix is not another analyst cleaning by hand. The fix is a Power Query pipeline that runs on every refresh, types every column, deduplicates, validates, and surfaces the bad rows before they reach the report. The pipeline documents every transformation so the next analyst can read it - not just inherit a mess.

That is what I build. Fixed scope, fixed price, written handover, and a workbook that survives the next refresh and the next person on the team.

What I do

How a data cleaning engagement runs.

Trim, dedupe, type, validate

Power Query pipeline that handles whitespace, case, duplicates, type coercion and explicit validation checks. Every transformation is named and documented.

Validation that fails loudly

Null order IDs, negative amounts, out-of-range dates, missing sources - caught at the pipeline step. The refresh aborts and the owner is notified by email.

Documented M-code the next analyst can read

Every step is named in plain English. The next analyst can extend the pipeline without learning M from scratch - a written spec explains the intent.

Survives the next hand-off

When the analyst who wrote the pipeline moves on, the next person can run, audit and extend it without breaking anything. That is the test a cleaning pipeline has to pass.

Related

Keep reading

Service

Fictional Excel Reporting Demo

Fictional Excel reporting demonstration with invented data, a sample monthly summary, and illustrative workflow checks

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Service

Sample Scoping Sprint Deliverable

A worked Scoping Sprint on a fictional workbook - the written diagnosis, fixed-price proposal and Definition of Done you receive

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Service

Spreadsheet Audit & Repair

Excel spreadsheet audit and repair - 7-check audit that catches the common errors in 10 minutes. Written remediation report + fix. From ₹6K fixed scope 1-day delivery.

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Excel Automation

Automate monthly Excel reporting with Power Query and VBA. Replace recurring exports, cleanup, refreshes, and distribution with a fixed-scope workflow and documented handover.

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Excel VBA / Macros

Excel VBA and macros for reconciliation, mail merge, PDF export and scheduled refreshes.

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Excel Dashboard Design

Excel dashboard design - KPIs, slicers and one-click refresh. Power Query + Pivot or Power Pivot.

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Financial Modeling

Financial modeling in Excel - three-statement, budget, scenario forecasts and sensitivity tables.

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Power Query / Power BI

Power Query and Power BI builds - refreshable M pipelines, validated transformations and dashboards your team can hand off.

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Service

Google Sheets Automation

Google Sheets automation with Apps Script - triggers, validation and Connected Sheets for BigQuery-scale data.

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Excel Error Fixing

Excel error fixing - broken VLOOKUP, #REF, #VALUE and slow files. Free tools first, then a fixed-quote Quick fix from $75 / ₹6K.

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Deliverables

What you receive at handover.

Every transformation is named in plain English. A written spec explains the intent so the next analyst can extend without re-reading the M-code from scratch.

  • Power Query pipeline against the named source(s)
  • Checks tab with explicit pass/fail criteria
  • Documented M-code (each step named in plain English)
  • Diff report when historical data is being cleaned
  • Email notification on validation failure
  • Written specification, recorded walkthrough, 30-day support

Tools

What I work in.

Power Query for the pipeline. Fuzzy match for messy joins. Excel profiling for triage. Power Automate for failure notifications.

  • Power Query (M)
  • Fuzzy match for messy joins
  • Data type coercion and validation patterns
  • Excel data profiling for triage
  • Power Automate for failure notifications
  • OneDrive / SharePoint for source landing zones

Common next step

Pair this with Power Query / Power BI when the cleaned data needs to feed a self-serve dashboard.

Process

Three stages, fixed scope.

  1. Step 01

    Profile

    I profile the source - counts, types, null rates, duplicate rates, sample of bad rows. You see the real state of the data before we agree the scope.

  2. Step 02

    Build

    Power Query pipeline is written against the live source in short loops. You see a working draft before the polish - and the validation checks are in from the start.

  3. Step 03

    Hand over

    Recorded walkthrough, written spec, documented M-code. Your team can run, audit and extend the pipeline without me.

Frequently asked

Before you hire an Excel data cleaning service.

How do you handle source drift when data changes underneath?

Every cleaning pipeline ends with explicit validation checks - null IDs, negative amounts, out-of-range dates, missing sources. If a check fails, the refresh aborts and the owner is notified by email before the bad data reaches the dashboard.

Can you clean historical data we already have in spreadsheets?

Yes. I run the cleaning pipeline against the historical file, write the cleaned output to a new tab or file, and produce a diff report so you can see what was changed and why. The original file is left untouched.

Get a Free Quote

Send a sample of the messy source. Get a fixed price to clean it.

Reply within one working day. NDA before any file is exchanged.

Replies within one working day, usually the same day

Calls scheduled in your timezone (UK, EU, US, UAE, APAC) · How a project works

Built for teams in

Industries and cities this work is set up for

Service standards

Six rules on every Excel service engagement.

Engagement rules, not marketing copy. The same six on every dashboard build, audit, macro, model and clean-up we ship.