Abdullateef Ibrahim

I am a Data Analyst and Junior Data Engineer with hands-on experience building ETL workflows, cleaning messy datasets, and preparing business-ready data for analytics. I focus on practical, repeatable solutions using Python, Pandas, PySpark, and SQL.

I have built reusable data-cleaning pipelines, mini ETL workflows, and data ingestion scripts that parse JSON APIs and load results into PostgreSQL. I apply grouping, mapping, aggregation and validation logic to standardize records and ensure data quality.

My technical work includes automation with Airflow and Kafka concepts, REST API integration, and writing SQL analytics queries using window functions and aggregations to surface business insights. I also add logging and error handling to improve pipeline reliability.

I am a continuous learner with certifications in data processing with Python and intermediate-to-advanced SQL practice; I’m seeking opportunities to apply and expand my data engineering skills while contributing clear, actionable analytics to a team.