DATA ENGINESDATA CONSULTING BY DANIEL DOGBEY

Behind every number,
a better question.

I’m Daniel Dogbey. Through Data Engines, I turn scattered data into reliable reporting, automated workflows, and clearer decisions.BASED IN ACCRA · WORKING ACROSS BORDERS

FIELD NOTES — 001BUSINESS INTELLIGENCESCROLL TO EXPLORE ↓
A CLOSER LOOK

Revenue tells
half the story.

Sales, profit, and performance.
One view of how a business is doing.

Inside the Electronics Hub project
LOOKER STUDIO / STATIC DASHBOARD PREVIEW ↗ ENLARGE
SELECTED PROJECT / ELECTRONICS HUBAnalysis → Structure → Clarity

01 / SELECTED WORK

Different problems.
The same curiosity.

A selection of reporting, automation, and data engineering projects. Open a case study to see the approach.

Explore the full project collection
Community impact / illustrative reportOpen report
Scrolling preview
Open full Community Impact microsite

Click the preview or button to explore the complete report website.

FEATURED SERVICE / REPORT WEBSITES

There’s a story
in the detail.

An annual report, programme evaluation, or impact update—built as a report website you can add to your own site. Give your audience clear chapters, animated charts, and a shareable reading experience.

Add a report to your website Two illustrative report websites · Community Impact and Annual Sales

HOW I CAN HELP

From a new system
to the team behind it.

Work with me on a complete data workflow, or bring my skills into the work your team already does.

FOR BUSINESSES & PROGRAMMES

Build a connected
monitoring system.

From data collection and quality checks to cloud pipelines, dashboards, and automated reports—a complete workflow that helps your organisation track performance and act on results.

Discuss a project
FOR TEAMS HIRING

Bring practical expertise
into your team.

Hands-on support across analysis, data engineering, and business intelligence, with the technical range to contribute to existing workflows and deliver useful work.

Explore my experience

02 / EXPLORE THE DATA MODEL

A look beneath the dashboard.

Explore the relationships behind the Electronics Commerce dashboard. Select a table or field to trace how the data connects.

Explore the model: click a table or field to see its relationships.

dim_dateDimension
dim_productDimension
fact_salesFact table
dim_locationDimension
dim_supervisorDimension
Selected relationship 1 → * one-to-many
Conceptual electronics-commerce star schema · Illustrative model

Why this matters: the model sits between the business question and the dashboard. It is the foundation that makes analysis consistent, explainable, and easier to extend.

THE PERSON BEHIND DATA ENGINES

Good reporting starts
before the dashboard.

In my role with Rising Learning Technologies, I work across data collection, SQL transformations, quality checks, and reporting for multi-country programmes. The job is as much about asking the right questions as it is about building the right charts.

Experience & education
2025 — PRESENT

Group Data Associate

Insights & Impact
Rising Learning Technologies


IN PRACTICE

Power BI · Looker Studio
GCP–BigQuery · AWS · SQL
Cloud data engineering & ETL
Product & stakeholder collaboration

Project image