Hasan Mumtaz
@hasanmumtaz
Data Engineer with expertise in scalable data pipelines and analytics.
What I'm looking for
I am a Data Engineer with over 2.5 years of experience in designing and optimizing scalable data pipelines across Azure, AWS, and Databricks ecosystems. My journey in data engineering has been marked by a commitment to ensuring data quality and delivering impactful analytics solutions for global clients. I hold a Bachelor of Science in Computer Science from the National University of Computer and Emerging Sciences, where I graduated with a CGPA of 3.56/4.
In my current role at Systems Limited, I have successfully designed and managed end-to-end data pipelines, enabling real-time analytics and collaborating with cross-functional teams to align data delivery with business KPIs. My key projects include transforming legacy workflows for British American Tobacco and refactoring ETL pipelines for Tapestry, both of which resulted in significant improvements in efficiency and accuracy. I am passionate about mentoring fellow engineers and sharing best practices to enhance team performance.
Experience
Work history, roles, and key accomplishments
Designed and managed end-to-end data pipelines across Azure, Databricks, and AWS ecosystems, enabling real-time analytics for global clients. Collaborated cross-functionally with engineering, BI, and product teams to align data delivery with business KPIs.
Freelance Data Specialist
Fiverr
Jan 2023 - Jul 2023 (6 months)
Developed scalable web scraping pipelines using Python (requests, BeautifulSoup) to extract and standardize metadata and image assets from online galleries, automating ingestion of over 2M records. Delivered clean, standardized metadata and images, uploaded directly to Amazon S3 to enhance content accessibility and streamline website display.
Education
Degrees, certifications, and relevant coursework
National University of Computer and Emerging Sciences - FAST
Bachelor of Science, Computer Science
Grade: 3.56/4
Completed a Bachelor of Science in Computer Science with a CGPA of 3.56/4. The curriculum focused on core computer science principles and their applications.
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