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
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
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.
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.
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.