Ali Hamza
Data Engineer at Nebbiu- Claim this Profile
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Bio
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Credentials
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ETL in Python
DataCampNov, 2022- Sep, 2024 -
Certified Professional Data Engineer
Google Cloud - MinnesotaJun, 2023- Sep, 2024 -
Associate Data Analyst
DataCampDec, 2022- Sep, 2024 -
Introduction to DAX in Power BI
DataCamp -
Marketing Analytics
University of Virginia Darden School of Business -
Understanding Data Engineering
DataCamp
Experience
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Nebbiu
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United Kingdom
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IT Services and IT Consulting
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1 - 100 Employee
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Data Engineer
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Jun 2023 - Present
-Building and managing ETL/ ELT pipelines to facilitate data storage, movement, and transformation. -Compute Engine, Dataflow, and Cloud Storage employed for this process. -Using BigQuery for data warehousing and analytics. - Using Looker Studio to visualize insights/ create reports and dashboards. - Meetings with clients to discuss requirements. - Using custom python scripts for data wrangling, scraping, and process automation. -Completed the 6 weeks "Google Cloud Partner Certification Kickstart Program" to prepare for the Google Cloud Professional Data Engineer Exam and acquire crucial data engineering skills. Show less
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Jami Partners
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IT Services and IT Consulting
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1 - 100 Employee
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Junior Data Engineer
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Jan 2023 - Present
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NCCS-NED
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Pakistan
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Computer and Network Security
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1 - 100 Employee
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Project Intern
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Oct 2022 - Dec 2022
Developing a system for lnsider threat detection using User and Entity Behavior Analytics( UEBA) Developing a system for lnsider threat detection using User and Entity Behavior Analytics( UEBA)
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NCL - NED
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Pakistan
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Research Services
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1 - 100 Employee
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Project Intern
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Apr 2022 - Jun 2022
Developing a solution for healthcare support that can perform point-of-care screening. Annotating images of infants to mark regions of interest, then using these images to implement a classification model. Applying preprocessing techniques on the CSV file that contained values for different labels. Using the CSV file to filter images belonging to each class, to train the model. Developing a solution for healthcare support that can perform point-of-care screening. Annotating images of infants to mark regions of interest, then using these images to implement a classification model. Applying preprocessing techniques on the CSV file that contained values for different labels. Using the CSV file to filter images belonging to each class, to train the model.
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Education
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NED University of Engineering and Technology
Computer Information Systems, Computer Science