Ali Alpaslan A.

Reliable reporting systems where numbers match source data, stay accurate after refresh, and show warning signs before reporting trust breaks. I help businesses turn SQL, Excel, SaaS, billing, ledger, and operational data into reporting systems where KPI logic is clear, mismatches are visible, and decision-makers can trust the numbers. I work across Power BI, SQL, ETL automation, source-system reconciliation, KPI logic, data freshness checks, and alert-ready reporting. I am especially useful when: • Power BI numbers change after refresh and nobody knows why • dashboards do not match source data from Xero, QuickBooks Online, ServiceM8, SQL exports, billing systems, or SaaS tools • revenue, invoices, payments, fees, cash, receivables, or operational metrics need validation • manual Excel or reporting workflows are fragile, inconsistent, or hard to maintain • SQL / ETL layers need cleaner structure before reporting • a report needs refresh health, stale-data checks, threshold visibility, or issue signals before decisions are made What I typically deliver: • KPI definition and reporting logic review • source-system reconciliation and mismatch investigation • SQL staging / mart layer checks • ETL and refresh reliability review • Power BI KPI validation and reporting health dashboards • data freshness, data quality, and alert-ready monitoring logic • clear issue summaries, fix-priority views, and handover notes for sign-off or remediation I build clean, decision-ready dashboards and reporting systems where the numbers are correct, the logic is clear, and warning signs appear before reporting trust breaks. ✅ Good fit if you need: • a Power BI / SQL KPI system you can trust • a finance or operations reporting layer checked against source data • a focused reconciliation or mismatch fix • a safer reporting workflow that reduces fragile manual updates • a lightweight monitoring layer for refresh health, stale data, threshold breaches, or KPI risk signals • a structured review before handing work to a builder, stakeholder, or client Clean visuals are useful. Trusted numbers are critical.