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Work

Selected work across analytics, engineering delivery, workflow automation, market intelligence, and data quality improvement.

EhxEntry is built around practical delivery. The examples below reflect the kind of work the company is designed to support across reporting, systems, external research, and modern data operations.

Focus Areas

AnalyticsDashboards, KPI delivery, semantic models, and embedded reporting.
EngineeringStorage zones, transformations, SQL delivery, and integrations.
AutomationCRM, workflow design, and process improvement tied to usable data.
Market IntelligenceExternal research, signal tracking, and structured insight tied to executive decisions.

Filter Work

Analytics

Azure marketing analytics pipeline and BI integration

Built Azure Blob Storage for outbound marketing data, connected Power BI through DirectQuery, modeled relational datasets, deployed dashboards, configured incremental refreshes, and embedded analytics within Dynamics 365 CRM.

Engineering

On-demand ELT flow from Dataverse to Azure SQL

Implemented a layered data pipeline across landing, staging, and publish zones with ADF Data Flows and Azure SQL delivery while aligning storage and firewall rules with security requirements.

Automation

CRM intake and workflow automation

Built an automated intake pipeline using forms, journey logic, and Power Automate triggers to standardize records, validate data, and automate downstream fulfillment steps.

Data Quality

Dataverse data model and form scripting

Designed custom tables, relationships, choice structures, business rules, and model-driven form scripting to improve data completeness, consistency, and user workflow quality.

Reporting

KPI reporting across operational functions

Delivered dashboards tracking operational, advisory, marketing, partnership, and program-management KPIs to reduce manual reporting and improve decision turnaround.

Market Intelligence

External market data collection and analysis workflow

Developed a Python-based scraping and analysis process using BeautifulSoup, Pandas, Matplotlib, and Plotly to collect, clean, normalize, and visualize external source data for reporting, trend visibility, and opportunity analysis.

95% Manual effort reduced across workflow automation initiatives
~35% Improvement in data completeness through controls and standardization
~40% Faster decision turnaround through KPI-driven reporting delivery

Delivery Strengths

Execution that connects business needs, technical quality, and operational continuity.

The work behind EhxEntry is grounded in practical execution: stakeholder workshops, current-state analysis, future-state workflow design, UAT coordination, weekly releases, Dev/Prod deployments, and solution support.

That delivery discipline helps ensure projects do more than launch. They stay usable, understandable, and aligned with the day-to-day reality of the teams they support.

Problem Type

Disconnected reporting

When leaders rely on inconsistent reports, manual exports, or fragmented dashboards across teams.

Problem Type

Weak data foundations

When automation, CRM, or analytics depend on incomplete records, inconsistent fields, or poor controls.

Problem Type

Delivery bottlenecks

When teams need practical implementation help to move from roadmap or concept into working solutions.

Project Fit

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