Qayas Mehtab
About Candidate
PROFESSIONAL SUMMARY
Logging function implementation
Data extraction modules
Transformation logic
CSV and database loading
SQL query execution functions
Log verification & validation
ETL WITH PYTHON – OCT 2025
Extract: Scraped 10 pages of vehicle listing data from PakWheels
Transform: Cleaned, normalized, and visualized data using Python
Load: Stored processed data into Microsoft SQL Server
Deploy: Served insights through a Streamlit web application
PAKWHEEL_DATA – NOV 2025
I am an aspiring Cloud Data Engineer with a strong foundation in Python-based ETL pipelines, data
extraction, transformation, and loading workflows. I am currently transitioning from a successful
operations and warehouse background into data engineering, where I apply my real-world data handling
experience to build structured, reliable, and scalable data solutions. With hands-on project experience in
web scraping, data cleaning, SQL databases, and dashboard development, I am focused on developing
end-to-end data pipelines that are easy to understand, maintain, and scale. I am actively seeking a full-
time entry-level Cloud/Data Engineering role where I can grow technically and contribute to data-driven
decision-making
