Data Engineering & Analytics

The Problem We Solve

Data projects fail for predictable reasons: no clear ownership, pipelines built on spreadsheets and manual exports, dashboards nobody trusts, and analytics tools that cost more than the insights they produce.

If any of these sound familiar, we can help:

• Reports are manual, slow, or inconsistent across departments

• Your team can’t answer basic questions without asking someone to pull data

• You’ve outgrown Zoho Analytics, Google Sheets, or legacy BI tools but don’t know what’s next

• Stock, inventory, or supply chain data lives in silos with no real-time visibility

• You have data engineers but no architecture, or architecture but no one to maintain it

How We Work

Every engagement starts the same way, with an audit.

1. Data Audit (1–3 sessions)

We map your current stack, understand the business questions that matter, and identify the highest-leverage opportunities. You get a clear view of where you are and what’s broken.

2. Prioritised Roadmap

Before we write a line of code, you get a practical plan: what to fix, what to ignore, and what will create the most impact. We sequence work so you see results early, not after six months of plumbing.

3. Build & Ship

We deliver in working increments, pipelines, models, dashboards. Each one documented, tested, and structured for your team to own.

4. Handover or Ongoing Support

Everything we build comes with full documentation. Your team can maintain and extend it independently. If you’d prefer ongoing support or augmentation, we do that too.

What We Build

Data Infrastructure & Pipelines

End-to-end ELT/ETL pipelines that connect your source systems to a single, reliable warehouse. We work with messy, real-world data such as POS systems, ERPs, payment gateways, logistics platforms, e-commerce backends and make them queryable.

Stack: Python, Apache Airflow, dbt, SQL, cloud-native connectors.

Cloud Data Warehouses

We design, build, and optimise warehouses on BigQuery and Azure with Kimball-style dimensional modelling so your data is structured for both reporting and machine learning.

Dashboards & Business Intelligence

Operational dashboards that answer the questions your team actually asks. We build across Looker Studio and Power BI, covering sales, supplier performance, marketing attribution, inventory, and financial reporting.

Inventory & Supply Chain Analytics

Real-time visibility across warehouses, cities, suppliers, and inventory flows. Automated stock replenishment alerts. SKU-level margin analysis. Fulfilment delay tracking with root-cause identification.

Customer Analytics & Segmentation

Customer journey analysis, drop-off identification, cohort segmentation, and recommendation models that drive measurable conversion. We built the recommendation engine behind Dabdoob’s 4M+ user platform in the GCC.

Migration & Modernisation

Moving off legacy BI tools (Zoho Analytics, on-prem databases, spreadsheet-based reporting) to modern cloud-native stacks without losing historical data or disrupting live operations.

Who This Is For

E-commerce & Retail. You’re scaling and your data infrastructure hasn’t kept up. Reports are manual, stock management is reactive, and marketing spend has no attribution. We’ve done this at scale with Dabdoob (4M+ downloads, GCC-wide operations).

FinTech & Financial Services. Transaction data, wallet flows, compliance reporting, and customer analytics across multiple products. We’ve built reporting infrastructure for Banque Du Caire, Beltone, iScore, and others.

Government & International Organisations. Operational dashboards for programme monitoring, field inspection tracking, and multi-stakeholder reporting. Built to GIZ/USAID knowledge transfer standards. Your team owns it after we leave.

Enterprise. You have data teams but need architecture guidance, pipeline modernisation, or a specialist to unblock a specific initiative. We augment and expand the capabilities of your team. 

Engagement Models

End-to-end project delivery. From audit to production. Best for organisations building data infrastructure from scratch or replacing a legacy stack.

Part-time data engineering support. Ongoing execution on a retained basis. Best for companies that need consistent pipeline and dashboard work but aren’t ready to hire a full team.

Team augmentation. We embed with your existing data team to accelerate delivery or fill a specific skill gap (warehouse architecture, dbt modelling, pipeline orchestration).

Architecture consulting. Short engagements focused on stack decisions, pipeline design, and data modelling strategy. Deliverable is a roadmap and architecture document.