I build, modernize, and fix complex reporting — accurate, automated, and correct where it counts. Ten years of building and migrating report logic across Excel, WebI, SAS, and Databricks, with the diagnostic depth to find what's actually going wrong when the numbers don't add up.
Complex reporting hides its hardest problems in plain sight — a subtle logic error, a total that won't reconcile, a report the team has been staring at for weeks. The numbers are right there; the reason they're wrong isn't. Finding it is a specific skill, and after ten years across four reporting stacks, it's mine.
Different starting points, one throughline: complex reporting that has to be right — and provably so.
Dense, audit-grade reporting — complex logic, numbers that have to hold up to scrutiny — built on whatever modern stack fits.
Rebuild reporting in Databricks or Power BI and make it run itself — ingestion pipelines into clean medallion schemas, scheduled runs, and automated data-quality checks that catch problems before anyone downstream does.
Moving reports off WebI safely depends on reading the old logic correctly. A decade inside SAP BusinessObjects means critical reports come across intact and validated — not rebuilt blind and quietly broken.
When a total won't tie out and the team is stuck, I trace the variance to its real cause — context, grain, filters, joins, definitions — instead of patching the symptom.
Every engagement is built so you can prove the result to whoever needs to trust it — an auditor, a funder, your own leadership.
Inventory every report, universe, and dependency, and lock the exact figures the new system has to reproduce. You can't prove a match without first defining truth.
Reconstruct the reporting on the new platform — automated, scheduled, checked — reading the original logic closely enough to carry it over faithfully or fix what was subtly wrong all along.
Check the rebuilt output against the baseline until it ties out, with a record you can hand to anyone who needs to trust the numbers.
Most report-builders know a tool. Fewer understand data integrity at the level of research design — what makes a number defensible, not just present. That combination, plus ten years of hands-on reporting work, is what I bring.
Sarah Taylor · Principal
Built and maintained complex, logic-heavy reports for a decade — the fluency that makes migrating off WebI safe instead of risky.
Graduate training centered on rigorous methodology — data integrity and statistical validity as a discipline, not an afterthought.
SQL, modern data platforms, medallion pipelines — I build and automate the solution, not just diagram it.
That's the conversation to have. Tell me what you're on now, where you're trying to go, and what has to keep tying out. I'll tell you honestly whether I'm the right fit.
hello@ninetenthsdata.com