Paige Cleary

Work + Projects

Useful systems, solved messes, and work that made the next thing easier.

My work is usually not just a dashboard, report, or workflow. It is the structure underneath: the definitions, processes, data models, automations, and decisions that help an organization trust what it knows.

Featured work

Project wall

Architecture

Microsoft Fabric migration strategy

Authored an 18-month migration strategy from Azure Synapse toward Microsoft Fabric, including architecture direction, validation planning, governance expectations, and long-term platform sustainability.

CRM foundation

HubSpot data foundation

Documented automations, reduced brittle logic, clarified data ownership, and stabilized reporting patterns so the CRM could support changing fields, labels, forecasts, and sales workflows.

Governance

Source-of-truth logic

Defined how truth changes across the project lifecycle as opportunities move from HubSpot into Deltek Vantagepoint and become active project work.

Quality

Data quality controls

Established QA checklists, pipeline safeguards, validation expectations, and monitoring concepts to catch problems before they reached reporting users.

Executive reporting

L10 primary dashboard

Built leadership-facing KPI reporting that created a shared view of company and department-level performance for recurring executive decision-making.

Market strategy

Branch expansion analysis

Combined isochrones, census demographics, ERP data, sales history, and market context into a decision-support model for evaluating new branch locations.

Reporting automation

Survey report pipeline

Built a pipeline that cleaned raw survey data and generated more than 100 reports, replacing repetitive manual work with repeatable reporting automation.

Org change

Restructure data support

Refactored employee mapping, market labels, and downstream reporting dependencies so data systems could absorb organizational change with less manual cleanup.

AI readiness

AI-ready data foundations

Connected AI enablement to the less glamorous work underneath it: governed business objects, reliable metadata, documentation, consistent terminology, and trustworthy reporting.

The through-line

The tools change: SQL, Power BI, Fabric, Snowflake, HubSpot, ERP systems, survey platforms, workload management boards, automations.

The work stays consistent: make the system clearer, make the data more trustworthy, make the next decision easier, and leave behind something more maintainable than what was there before.