Nebiyu Samuel Email & Phone Number

Berlin, Germany

Addis Ababa, Ethiopia

* Successfully architected and built a data lake solution utilizing AWS S3 as a storage layer, and Athena and Python as a powerful query and transformation engine. The solution enabled us to store any data as it is, eliminating the need for costly and time-consuming data transformations.* Designed and implemented a custom ingestion engine that facilitated a 40% increase in data processing efficiency while enabling seamless data ingestion from various production databases into the data lake. This allowed for more streamlined data processing and captured historical data.* Developed a custom Python package that utilizes AWS services and a public Python package to efficiently serve, clean, and transform data from the data lake, resulting in a 60% reduction in data processing time for various teams.* Built a custom data documentation platform for the data lake to improve data governance and discoverability. As a result, the number of data-related questions to the data engineering team has decreased by 80%.* Implemented a comprehensive set of data governance practices and data quality control measures to uphold the trustworthiness and usability of the data stored in the data lake, ensuring that it is fit for purpose and meets the diverse needs of the data consumers.* Deployed a credit scoring API utilizing AWS Lambda and microservices architecture, with the database hosted on RDS, resulting in a scalable and efficient solution for credit scoring.

Addis Ababa, Ethiopia

* Developed an automated data ingestion and transformation pipeline using Fivetran and ADF for data ingestion, and applied DBT to carry out data transformations such as data cleansing, column type casting, and standardization in a context-agnostic manner, resulting in a 22% improvement in data processing efficiency.* Implemented a robust log management system for production data, leveraging Airflow to effectively orchestrate and monitor data pipeline operations. * leveraged Redash to effectively communicate insights and data visualizations to stakeholders, enabling better-informed decision-making and driving business success.

Mumbai, India

* Extracted data from various websites using Beautiful Soup and stored it in a structured format for further analysis.* Developed interactive visualizations using Redash to present insights and data in a concise manner to technical leads.* Conducted data cleaning and preprocessing tasks to ensure data accuracy and consistency.

Addis Ababa, Ethiopia

* Worked on Azure to automate interactions with customers by developing intelligent bots, machine learning models to classify images, used azure cognitive services to work on real-world image classification problems, self-extract image files from videos.* Worked on deep learning project to detect if a person is wearing a face mask or not by using azure machine-learning studio.