Zamzam arafat
@zamzamarafat
I build production-style ELT pipelines and cloud data warehouses with Python, SQL, BigQuery, Airflow, and dbt.
What I'm looking for
I've built an end-to-end cryptocurrency ELT pipeline that integrates live CoinGecko market data and Alternative.me sentiment data, processing more than 150,000 records across 55 coins.
I orchestrated independent Apache Airflow DAGs for ingestion and sentiment workflows, then built Bronze, Silver, and Gold dbt layers in BigQuery. I designed dimensional fact and dimension tables, added dbt quality tests, and implemented MERGE-based incremental loading to keep warehouse runs idempotent and free of duplicates.
I'm completing a Computer Science degree at Kabarak University and continuing to deepen my cloud, orchestration, PySpark, monitoring, and alerting skills. I also built a SARIMAX retail-demand forecasting pipeline and a Streamlit and Plotly dashboard for live cryptocurrency prices and sentiment.
Experience
Work history, roles, and key accomplishments
Graduate Data Engineer
Self Employed
Computer Science graduate specializing in data engineering, with hands-on experience building production-style ELT pipelines using Python, SQL, BigQuery, Apache Airflow, and dbt. Experienced in designing dimensional data models, orchestrating multi-source ingestion, and implementing idempotent, incrementally loaded warehouses.
Education
Degrees, certifications, and relevant coursework
Kabarak University
Bachelor of Science, Computer Science
Pursuing a Bachelor of Science in Computer Science with coursework in database systems, data structures, and distributed systems.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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