Data engineering & R Development at the WHO

Muhammad Jarir Kanji

Data Scientist
Data Analyst
Data Engineer
Azure
Azure DevOps
R
World Health Organization

Key Outcomes

Please scroll down to the Project Overview section for more details.

✔️Led the migration of the Triple Billions data pipeline from a proprietary database to the World Health Data Hub (built on top of Microsoft Azure).

✔️ Significant improvements to data access with 100x faster access times and 14x smaller download sizes.

✔️ Automated data processes using Azure Data Factory and internal tooling, saving hours in manual processes daily.

✔️ Maintained and developed new features for GPW13 R packages and helped design an R package for interfacing with the World Health Data Hub.

Project Overview

The Triple Billions program is an initiative by the WHO that aims to enable:

1 billion more people to enjoy better health and well-being

1 billion more people to be covered by essential health services

1 billion more people to be protected from health emergencies

The tracking of member countries' progress toward these goals is defined by a complex data pipeline integrating and forecasting global data for 46 health indicators. These dashboards were a centerpiece for sessions at the World Health Assembly and used to populate the World Health Statistics report.

I helped the WHO manage this pipeline and improve code quality across the project.

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