My passion for solving real-time problems and my result-oriented attitude are the main reasons behind my pursuit of a career in Data Engineering. I thrive on transforming complex data into actionable insights that drive impactful decisions and societal benefits. Expertise and Skills I have strong expertise in: - Data Pipeline Creation: Building efficient and robust data pipelines to automate data flow and ensure high data integrity. - Data Flow Automation: Implementing automated processes to streamline data management and reduce manual intervention. - API Data Scraping: Extracting valuable data from various online sources to support data-driven decision-making. - Advanced Data Analysis & Visualization: Utilizing cutting-edge tools to derive insights and present data compellingly. - Feature Store Creation: Designing and managing feature stores to support machine learning model development. - A/B Testing: Conducting rigorous tests to optimize business decisions. Technical Skillsets - Programming Languages: SQL, Python, Shell scripting - Data Processing Tools: Apache Kafka, Spark, Kubernetes, BigQuery, Databricks, Hadoop, Flink, Snowflake, Presto - Data Engineering Tools: Airflow, DBT, Redash - Machine Learning Tools: Sklearn, TensorFlow, Keras - AWS Services: Athena, Glue, Lambda, SQS, EC2, ElasticSearch, RDS Impactful Projects Adludio: At Adludio, I engineered data workflows and optimized real-time data processing for a SaaS platform. I handled vast amounts of big data, ensuring efficient data operations and better decision-making for the company. Ethiopian Public Health Institute (EPHI): At EPHI, I developed data pipelines and automated data flows to support health-related research. ETLs and Mart solutions for large volumes of health data has provided critical insights, influencing public health policies and interventions. 10Academy (Volunteer): Built built efficient data pipelines and automated processing systems, optimizing data-driven decision-making and ensuring project success. CNET Softwares and Technologies & Addis Zeybe: In these roles, I developed and maintained robust applications with a strong focus on backend data processes. My work ensured seamless data integration and enhanced overall system performance, providing reliable solutions to the companies' data challenges. Hobbies and Interests - Teaching: Passionate about teaching SQL, Python, and data engineering concepts at my current and previous employers and various colleges in Ethiopia. - Personal Interests: Problem Solving, FIFA