10 Academy profile

Natnael M. Zerihun

Addis Ababa, Ethiopia


Addis Ababa University (2015-2020)

BSc. (Electrical And Computer Engineering)


Email: natnaelmasresha@gmail.com

Phone: +251 912 097 394

LinkedInMediumGitHub

Programing Languages

  • Python

  • JavaScript

  • Java

  • C#

  • SQL

DEVOps/MLOps

  • CI/CD

  • DVC

  • MLflow

  • Unit Testing

  • Virsion Control | Git

Web development

  • HTML5 | CSS3

  • Blazor

  • Streamlit | Redash

  • REST API

  • .NET Core | MVC

Data Engineering Skills

  • Apache Kafka

  • Apache Airflow

  • SQL | MySQL

  • ETL | ELT

  • Pandas

About me

A junior data engineer who has expertise in Data Warehousing & ETL pipelines. Competent with data engineering

technologies and python libraries. Implemented a diverse range of projects using Airflow, Kafka, SQL, and DBT.

Proficient in working with large datasets to transform data and perform exploratory data analysis.

Education and Training

  • 10 Academy ( August 2022 - November 2022 )

Data Engineering | ML Engineering | Web3

  • Took machine learning, web3, and data engineering training.

  • Majored in Data-Engineering

  • Built a series of large projects

  • Gebeya IT Academy ( June 2021 - July 2021 )

Cloud Computing | Data Engineering

  • Completed Data Engineering learning track

  • Completed Azure fundamentals

  • Addis Ababa University, Addis Ababa Institute of Technology ( 2015-2020 )

BSc.(Electrical and Computer Engineering)

  • B.Sc. in Electrical & Computer Engineering from Addis Ababa Institute of Technology, Addis Ababa University

  • Graduated with distinction: Major CGPA - 3.51


Soft skill Training

  • ZOA from relief to recovery ( July 2021 )

Life skill and Employability skill

  • successfully completed a personal development training

Work Experience

  • Fullstack Developer - Remote Work

Upwork (February 2022- Present)

  • Designed and developed multiple portfolio websites

  • Participated in a web scraping project with C#

  • ASP ,NET Core: Student Registration Management System

  • Developed and Published ASP .NET Core web application (Spam Email Checker)

  • Fullstack Developer

CNET Software Technology (March 2021- September 2022)

  • Worked with large data

  • Developed an online Learning Management System (LMS) and integrate it with an existing ERP system

  • Developed an API for the Federal Police of Ethiopia that collects guest information from hotels

    • currently under review for applying it nationwide

    • included a face-recognition system for enabling police to search any guest by their photo

  • Developed the company profile website

  • Research Assistant - International Research Experience

University of Michigan & Addis Ababa University (July 2019- August 2019)

  • Designed an automated drip-irrigation system using ATmega microcontroller.

  • Install the irrigation system in a greenhouse at AAU.

  • examined the efficacy of the system in cultivating different crops.

  • Backend developer - Intern

Tohey Technology (March 2019- August 2019)

  • Developed C# based a synchronized file sharing system with FTP

Projects

A data engineering pipeline that allows recording millions of Amharic and Swahili speakers reading digital texts on a web platform. I used large text corpora. Designed and built a robust, large-scale, fault-tolerant, highly available Kafka cluster that can be used to post a text and receive an audio file

Read More

Created a scalable data warehouse that will host the vehicle trajectory data extracted by analyzing footage taken by swarm drones and static roadside cameras. Applied the Extract Load Transform (ELT) framework using DBT. Set up transformation workflows. Finally, visualize results and analysis on redash.

Read More

Provided a finance team to forecast sales in all their stores across several cities six weeks ahead of time. Built and served an end-to-end product that delivers the prediction to analysts in the finance team. Prepared a standard dashboard for reporting and presenting findings from this project.

Read More

provided a report to analyze opportunities for growth and make a recommendation on whether a certain Telecom company (TellCo) is worth buying or selling. Performed analysis on the company's dataset that contains useful information about the customers & their activities on the network. Delivered insights through an easy-to-use web-based dashboard and a written report.