dawondyifraw (Daniel Wondyifraw) · GitHub
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.github/profile/README.md

Daniel Wondyifraw

I am a data engineer from Ethiopia. I have built data and software systems for more than ten years, first in Ethiopia and later in the Netherlands.

I run DataTwinLabs, my own company for data and AI work. At the moment I work as a data engineer for an agricultural intelligence company. I build data pipelines with Python, BigQuery and dbt, and data marts for Power BI. I also work on a tool that answers questions in plain language, from the data.

Before that I worked at ICAP in Ethiopia. I built a malaria data system on DHIS2. Health workers in 680 facilities use it to report. Reports that took weeks now take less than one day. I also built the slide bank system for EPHI.

I finished my EngD in Data Science at TU/e Eindhoven in 2025. My research was on urban digital twins. The paper was published and I was a finalist for the KIVI EngD Award.

Tools I use most: Python, SQL, BigQuery, dbt, Kafka, Spark, DHIS2, Docker, Git.

Some of my work is in the repositories on this page. The pinned ones are the best place to start.

LinkedIn: https://www.linkedin.com/in/danielwondyifraw/ Email: datatengineerd [at] outlook [dot] com

Pinned Loading

  1. digitaltwindenboschbackend digitaltwindenboschbackend Public

    Backend services for the Digital Twin Den Bosch platform, integrating data ingestion, processing, and APIs for UDT operations.

    Python

  2. ETL-pipline-API-SQL ETL-pipline-API-SQL Public

    MarvelDataPipline

    Jupyter Notebook

  3. EnergyforecastLSTM EnergyforecastLSTM Public

    Energyforecast with naive, dense and LSTM models

    Jupyter Notebook

  4. ETL-Python-Wikipidea ETL-Python-Wikipidea Public

    Forked from danlabset/ETL-Python-Wikipidea

    ETL project to scrap content from wikipidea and coverts into database using sqlite and runs query over

    Python

  5. medallion-sensor-streaming medallion-sensor-streaming Public

    Streaming medallion pipeline for UDT Den Bosch: Kafka ingestion to Delta Bronze/Silver/Gold with enrichment, aggregation, and dashboards.

    Python