# Azaria Tamrat > Software Engineer | Data Engineer Location: New York, New York, United States Profile: https://flows.cv/azaria Hello! I'm a versatile software and data engineer with experience in a range of programming languages, including Python, JavaScript, SQL, and Java, as well as technologies like AWS, React, Kafka, Flask, and Ethereum. I am passionate about leveraging technology to drive innovation and solve complex problems. I'm currently a Data Engineer at 10 Academy, a non-profit empowering Africans through education. I specialize in building transformative data services, including an automated grader pipeline using OpenAI LLM API that increased the trainee-tutor ratio by 10-fold. I also developed a new notification system using AWS SNS and SQS, reducing times by 5x and costs by 90%. In addition, I've led technical sessions on various topics, enhancing trainees' skills in Python, Git, Docker, and more. Throughout my diverse career, I have spearheaded the launch of a crypto startup, led the transition of Ubongo Kids - an edutainment company with over 26 million monthly reach - into a data-driven organization, interned and apprenticed in data science positions at Microsoft 4Afrika, and worked on multiple projects that use data-driven solutions for societal and commercial issues. Outside of work, I'm a self-proclaimed foodie who loves exploring new culinary experiences. In my free time, you can find me trying out new recipes, sampling local restaurants, or working up a sweat at the gym. I'm a quick learner with a process of elimination approach that helps me solve problems effectively. I'm actively seeking opportunities in either software engineering or data engineering and would love to connect with anyone who has potential job openings or just wants to chat. Let's connect! ## Work Experience ### Software Engineer II @ Disney Streaming Jan 2024 – Present | New York, United States Building systems powering personalization and recommendations on Disney+. ### Brilliant Black Minds Community Ambassador @ Karat Jan 2024 – Present Karat created the world’s first Interviewing Cloud to make the technical interviewing process fair, equitable, and enjoyable. Brilliant Black Minds, a free program by Karat, exists to increase the number of Black software engineers in tech. As an ambassador for the program, I support a community of over 8,000 Black software engineers as they practice for technical interviews and unlock access to new career opportunities. ### Data Engineer @ 10 Academy Jan 2022 – Jan 2024 | California, United States ◦ Designed and launched AI based grading system utilizing OpenAI LLM API, Python, and Weaviate (open-source vector database), allowing a tenfold expansion in terms of company’s reach. ◦ Architected and built a new notification system using AWS SNS and SQS, reducing notification times by 5x and lowering service costs by 90%. ◦ Developed proof-of-concept grading system using Python + DynamoDB to validate storage and management of evaluation criteria, results, and student submissions, serving as a foundation for a larger-scale build process. ◦ Achieved 100% job placement for participants in curated data structures and algorithms/SQL curriculum, equipping trainees with the technical skills necessary to succeed in software engineering job interviews. ◦ Led 30+ technical sessions on topics such as Python, Git, Docker, CML, DVC, MLflow, Airflow, Kafka, CI/CD, Testing, Dapps, and Smart Contracts, resulting in improved technical skills and knowledge for over 150 trainees. ### Data Engineer @ Tenacious Intelligence Jan 2023 – Jan 2023 | California, United States ◦ Consolidated and migrated relational data from 6+ sources spanning over 10 years, leading to enhanced data quality and enabling more effective data-driven decision making. ◦ Managed AWS access, deployed Redash dashboards, and implemented data quality checks using open-source tools like Great Expectations, empowering stakeholders with data insights and boosting confidence in decision-making. ◦ Built a layered, scalable ELT data engineering pipeline using Kedro, complete with transparent data lineage graphs for streamlined auditability and data processing reproducibility. ### Software Engineer @ Tenacious Intelligence Jan 2021 – Jan 2022 | California, United States ◦ Built core services for trend prediction, using various technical indicators, classification, regression, and clustering models. Wrote Smart Contracts for executing arbitrage opportunities – flash loans and cross-exchange arbitrage. ◦ Deployed Kubernetes-based infrastructure for trading bots, significantly improving scalability and ensuring seamless management of trade executions. ◦ Utilized Trino to process large-scale backtest datasets. Calculated and analyzed key financial metrics, including returns, Sharpe ratios, and drawdowns, providing valuable insights for decision-making and risk management. ◦ Transitioned to a serverless architecture, leveraging AWS Lambda and other cloud-native services, resulting in reduced cloud expenses of over 50%. ◦ Containerized Data Science playground notebooks using AuroraDB, Docker, MLFlow and Amazon S3. Dealt with automation of various system components using Airflow, AWS Lambda, and EventBridge. ◦ Managed end-to-end deployment, including DNS configuration on Route 53 and secure ECS deployment, for an automated React web app using GitHub Actions. ### Data Scientist @ 4Afrika Academy Jan 2021 – Jan 2021 | Addis Ababa, Ethiopia ◦ In a team setting, implemented a Text-to-speech engine using approaches including concatenation synthesis and Deep Learning--such as the Tacotron-2 architecture for TechinEye project using Tensorflow for the Amharic language which achieved a Mean Opinion Score of 3.5. ◦ Layed-out flask API used for speech synthesis. ◦ Worked on the frontend application(React PWA). ◦ Co-authored research paper dealing with neural-network approaches for speech synthesis in Amharic. ### Data Scientist @ 4Afrika Academy Jan 2020 – Jan 2021 | Addis Ababa, Ethiopia ◦ Dev Environment: Created containerized working environments for data science workloads on Microsoft Azure. ◦ Intelrad: Developed Deep Convolutional Neural Network Models for COVID-19 and Other Respiratory Diseases Detection and Diagnosis. ◦ Data Science: Run data experiments, put machine learning models into production, and monitored and optimized predictive models. ### Partner Manager @ AIESEC in Ethiopia Jan 2020 – Jan 2020 | Addis Ababa, Ethiopia As a partner manager in Aiesec for the External Relations team, I helped assess potential partners and influential people to deliver seminars, delivered and attended numerous soft-skills training on communication, networking, collaboration, and leadership. ### Database Administrator @ GMT Accounting services Jan 2018 – Jan 2018 | Addis Ababa, Ethiopia • Clean and analyze financial data • Maintain essential IT operations, including operating systems, applications, email systems and hardware • Handle critical IT tasks and improve employee productivity Technologies used : Excel, Peachtree Accounting ## Education ### Bachelor of Science - BS in Computer Software Engineering Addis Ababa Science and Technology University ### Fellowship in Machine Learning 10 Academy ### Bachelor of Arts - BA in Business Management Bahir Dar University ### High School Diploma Ethio Parents School ## Contact & Social - LinkedIn: https://linkedin.com/in/azaria-gebremichael - Website: https://bit.ly/azariagebremichael - Website: http://github.com/Azariagmt --- Source: https://flows.cv/azaria JSON Resume: https://flows.cv/azaria/resume.json Last updated: 2026-04-05