Your business depends on systems nobody fully trusts.

Microsoft Access databases. Excel reporting. SQL pipelines. When the tools your business runs on become slow, brittle, or hard for anyone else to support, the whole operation feels the drag.

Twenty years fixing these problems inside major Canadian banks. Now working directly with small and mid-sized businesses — without the overhead or the translation layer.

Book a Free 15-Min Call
20+ Years in data & integration
5 of 6 Major Canadian banks
1 : 1 You work directly with me
Written scope Before every engagement

The kinds of problems I solve

Real situations businesses bring to me when a system or process still matters but has become harder to explain, support, or improve safely.

Primary specialty

Access & VBA Automation

Situation

Inherited database becoming slow, unstable, or difficult to support after the original builder moved on.

What I do

Review the setup, identify structural weak points, clean up problem areas, and clarify how the system actually works.

Result

Less firefighting, clearer ownership, and a system the business can support with less guesswork.

Inherited databasesBrittle systemsKnowledge gaps

Excel & Data Cleanup

Situation

Month-end reporting takes a full day of manual copy-paste. Formulas are broken. The numbers keep getting questioned.

What I do

Fix the formulas, consolidate the data, and rebuild the process so reports update in minutes instead of hours.

Result

Reliable numbers, faster turnaround, and a process that doesn’t fall apart when someone else has to run it.

Broken formulasManual reportingDuplicate records

SQL & Reporting

Situation

Queries that run slowly, reports that do not reconcile, and data that people keep questioning.

What I do

Trace the problem back to the source — whether that’s the query logic, the data structure, or the process feeding it.

Result

Faster queries, accurate reports, and a data pipeline that is easier to explain and support.

Slow queriesData reconciliationReport accuracy

AI & Your Data

Situation

The business is collecting data but it sits unused. AI tools can’t make sense of messy spreadsheets and inconsistent formats.

What I do

Audit what you have, clean and restructure it, and build a repeatable workflow so AI tools can actually read your data.

Result

Usable data, a working AI workflow, and answers from your own information — without hiring a data analyst.

AI readinessData preparationWorkflow setup

How every engagement works

The same four-stage approach regardless of the problem. Understand the issue, define the work, then move with a written scope.

Understand

Learn how the system actually works in practice — not just what it was built to do, but where friction quietly lives.

Assess

Look past the visible symptoms to the structure, logic, and workflow issues that are creating friction or delay.

Define

Identify the right next step — whether repair, documentation, redesign, or something the business hasn’t considered yet.

Act

Work begins only after a written scope and clear definition of done. Clear deliverable. No surprises.

Experience that travels

The problems change. The approach doesn’t.

I don’t just fix the file. I find the reason the file needed fixing in the first place. Linc Attong, Linc Data Works
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