About
Hey, I'm Daniel. I'm a data analyst with experience in cloud-based analytics, ETL pipeline development, and business intelligence. I'm passionate about turning data into actionable insights that drive operational decisions across healthcare and business environments.
I graduated from the University of Maryland with a Bachelor of Science in Computer Science (GPA: 3.5) in August 2025. During my studies, I developed strong foundations in algorithms, software engineering, statistics, data science, and data visualization.
I'm proficient in SQL optimization, Python-based data processing, and creating dashboards using Power BI and Tableau. I've worked with modern data stack tools like dbt, AWS, and Snowflake to build robust data pipelines.
Links
- GitHub: @Daniel21b
- LinkedIn: linkedin.com/in/daniel-berhane
- Email: dberhane@terpmail.umd.edu
Timeline
Data Analytics Consultant at ICATT Consulting
Designed and implemented ETL workflows using AWS Glue & Lambda. Built real-time Power BI dashboards connected to Snowflake. Implemented dbt data quality checks to ensure reporting pipeline integrity.
Learn moreData Analyst Intern at University of Maryland Career Center
Automated weekly employment reports using Python and SQL. Analyzed student placement data in MySQL to identify hiring trends. Improved database query performance by 3x through optimization. Built Tableau dashboards for career fair analytics.
Graduated from University of Maryland
Completed Bachelor of Science in Computer Science with a 3.5 GPA. Coursework included Algorithms, Software Engineering, Statistics, Data Science, and Data Visualization.
Tools
These are the tools I use daily for data analysis and building data pipelines. I'm always exploring new technologies to improve my workflow.
Python
My primary language for data processing, analysis, and automation. I use Pandas, NumPy, and scikit-learn extensively.
SQL
Essential for data extraction and transformation. I work with MySQL, PostgreSQL, and optimize complex queries for performance.
Power BI
My go-to tool for creating interactive dashboards and business intelligence reports connected to various data sources.
AWS
I use AWS services like Glue, Lambda, and EC2 for building scalable ETL pipelines and deploying data applications.
Skills & Technologies
Here's my technical stack for data analysis and engineering.
Programming Languages
- Python, SQL, R, JavaScript, Java
Data Analysis & Visualization
- Pandas, NumPy, Matplotlib, Seaborn
- Power BI, Tableau, Looker
Data Pipeline & Cloud
- dbt, AWS (Glue, Lambda, EC2), Snowflake
Machine Learning & MLOps
- scikit-learn, MLflow
Databases & Tools
- MySQL, PostgreSQL, MongoDB
- Git, GitHub Actions, FastAPI
Profile
