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Data Engineer with less than a year in big data & cloud technologies
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Assessing your cultural and operational fit
Data Engineer passionate about data, big data, and cloud technologies. Experienced in building basic data pipelines and transforming raw data into useful insights. Eager to keep learning, improve technical skills, and grow through solving real-world data challenges in scalable cloud environments.
Kafr El-Sheikh University
Computer Engineering · Engineering
October 1, 2021 – June 1, 2026
FraudLens: Real-Time Financial Fraud Detection Platform
June 1, 2026 – June 1, 2026
Built a real-time fraud detection platform using Airflow, Kafka, and Spark Streaming, processing 1.8M+ transactions with sub-5-second detection. Developed a fraud risk scoring engine with fault-tolerant streaming, DLQ handling, and Spark checkpointing. Designed a dbt-based OLAP warehouse on PostgreSQL with automated testing, monitoring, and CI/CD via GitHub Actions.
View ProjectReal-time financial transaction streaming pipeline
April 1, 2026 – April 1, 2026
Built an end-to-end real-time financial transaction streaming platform using Apache Kafka, PySpark Structured Streaming, Elasticsearch, Kibana, Grafana, and Prometheus within a fully containerized Docker Compose environment. Developed high-throughput Kafka producers and Spark streaming pipelines for real-time transaction aggregation and anomaly detection, with live monitoring and observability using JMX metrics and Grafana dashboards.
View ProjectAirflow + dbt + Snowflake Data Pipeline
September 1, 2025 – September 1, 2025
Designed and implemented a modern ELT pipeline using Snowflake for storage, dbt for transformations, and Apache Airflow for orchestration. Ingested raw CSV data, transformed it into staging and fact models, and automated workflows with Airflow.
View ProjectDatabricks Certified - Data Engineer Associate
Databricks
June 1, 2026 – Present
Astronomer Certification Airflow 3 Fundamentals
Astronomer
June 1, 2026 – Present
Astronomer Certification - Apache Airflow DAG Authoring
Astronomer
June 1, 2026 – Present
Microsoft Certified - Fabric Data Engineer Associate
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and hands-on experience in core data engineering domains, aligning well with a Data Engineer role. The diversity of tools and platforms used (Kafka, Spark, Airflow, dbt, Snowflake, PostgreSQL, Docker, AWS, Azure) shows a broad technical curiosity. The certifications further reinforce a proactive learning culture. However, the lack of professional experience means cultural fit in a corporate setting, especially regarding collaboration and navigating organizational complexities, is largely unproven.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-component systems, suggesting good problem-solving and integration skills. The volunteering experience as a mentor implies leadership potential and a willingness to share knowledge. However, without professional experience, the operational fit in a fast-paced, senior-level environment is yet to be fully validated.