Anwar Mousa
Data Engineer
Passionate about building scalable data pipelines and delivering actionable insights. I focus on data modeling, ETL processes, and cloud technologies to create efficient systems that support data-driven decision-making. Experienced with Apache Airflow, Kafka, Spark, and Snowflake.
Skills
Data Engineering
- ETL Pipeline Development
- Data Warehousing
- Stream Processing
- Data Modeling
- Data Quality & Testing
- Real-time Analytics
Technologies
- Apache Airflow
- Apache Kafka
- Apache Spark
- Snowflake
- PostgreSQL
- Grafana
- DBT
Programming & Tools
- Python
- SQL
- PySpark
- Docker
- Git
- Scikit-learn
Projects
Ayn
An AI-native quality assurance and accreditation platform for educational institutions. Brings standards, evidence, gap analysis, analytics, workflows, and institutional AI assistance into one product, with Horus as the platform intelligence layer.
Real-time Forex Data Pipeline & Analytics Dashboard
Built an automated ETL pipeline using Apache Airflow for processing and analyzing large-scale data from Alpha Vantage API. Implemented data quality using medallion checks and monitoring.
Lakehouse Analytics Platform
A modern lakehouse analytics platform implementing the medallion architecture (Bronze/Silver/Gold) for scalable data processing and analytics workloads.
RideTrack - Real-time Ride-Sharing Analytics
A real-time ride-sharing analytics platform that processes, stores, and visualizes large-scale trip data. Built with modern data engineering practices for high-throughput streaming analytics.
Real-Time EIS Pipeline
A comprehensive data pipeline that collects, transforms, validates, and analyzes Egypt's economic indicators in real-time using modern ETL architecture. Enables data-driven economic insights.
NASA Log Analytics
Developed a real-time analytics platform using Apache Kafka and Apache Spark for processing streaming data. Implemented data warehousing solutions using Snowflake.
Work Experience
BI Engineer
Link Development
Designed and delivered business intelligence solutions to support data-driven decision-making across the organization.
- ▸Built and maintained interactive dashboards and reports for stakeholders using BI tools
- ▸Developed and optimized data models and ETL pipelines for reporting workflows
- ▸Collaborated with cross-functional teams to translate business requirements into analytical solutions
- ▸Ensured data quality and consistency across reporting platforms
Data Engineer
DPEI
Developed and maintained scalable data pipelines for processing large-scale datasets.
- ▸Designed and implemented ETL pipelines using Apache Airflow, reducing data processing time by 40%
- ▸Built real-time streaming data solutions using Apache Kafka and Apache Spark
- ▸Optimized data warehouse queries in Snowflake, improving query performance by 35%
- ▸Collaborated with cross-functional teams to deliver data-driven insights
Data Analyst Intern
NeuronetiX
Analyzed complex datasets to extract actionable business insights.
- ▸Created automated reporting dashboards using Python and SQL
- ▸Performed statistical analysis on large datasets to identify trends and patterns
- ▸Presented findings to stakeholders with clear visualizations and recommendations
Business Intelligence Intern
PwC
Supported business intelligence initiatives and data visualization projects.
- ▸Developed interactive dashboards for client reporting using BI tools
- ▸Assisted in data quality assessments and validation processes
- ▸Contributed to data modeling and ETL pipeline development
Education
Bachelor of Computer Science and Informatics
Delta University for Science and Technology
- ▸Graduation Project: Ayn — AI-native QA & accreditation platform
- ▸Relevant coursework: Database Systems, Data Structures & Algorithms, Machine Learning, Software Engineering
- ▸Built multiple data engineering projects including real-time pipelines and analytics dashboards
- ▸Gained hands-on experience with cloud technologies, distributed systems, and data warehousing
Data Analytics Scholarship - Digital Egypt Pioneers Initiative (DEPI)
Ministry of Communications and Information Technology (MCIT), Egypt
- ▸Intensive training in data analytics, ETL pipelines, and business intelligence
- ▸Worked on real-world data projects using Python, SQL, and Apache tools
- ▸Developed skills in data modeling, visualization, and statistical analysis
GitHub Activity
Connect
Let's work together
I'm always interested in new opportunities, collaborations, and conversations about data engineering. Feel free to reach out!
anwarmousa100@gmail.com