Data Engineering and Automation Specialist with an MSc in Data Science (Distinction) and 5+ years of extensive experience building data ingestion systems, developing ETL/ELT pipelines, and automating complex workflows. C…
Data Engineering and Automation Specialist with an MSc in Data Science (Distinction) and 5+ years of extensive experience building data ingestion systems, developing ETL/ELT pipelines, and automating complex workflows. Core technical expertise includes Python, Scrapy, Selenium, Pandas, PySpark, Airflow, AWS Redshift, Matplotlib, and Tableau to deliver reliable, high-volume data solutions and actionable insights.
Delivered 600+ data extraction and automation projects for diverse clients.
Achieved a 100% on time delivery rate.
Engineered high-performance, resilient scrapers using Python, Scrapy, and Selenium to handle dynamic content.
Handled anti-bot measures.
Architected end-to-end automated ingestion workflows.
Reduced manual data collection efforts for clients by up to 90%.
Built API-based and browser-automation solutions for custom data tasks.
Published demo web scrapers on GitHub.
Delivered 600+ data extraction and automation projects for diverse clients, achieving a 100% on time delivery rate., Engineered high-performance, resilient scrapers using Python, Scrapy, and Selenium., Architected end-to-end automated ingestion workflows., Built API-based and browser-automation solutions for custom data tasks., Published demo web scrapers on GitHub: https://github.com/arslan-demo-scrapers
Engineered and maintained 500+ production-grade web scrapers for large-scale data acquisition.
Integrated data pipelines with MySQL, PostgreSQL, MongoDB, NoSQL, and Amazon Redshift.
Deployed and scheduled scrapers on Linux servers via Cron.
Established reliable, hands-off data delivery systems.
Developed end-to-end ETL workflows for enterprise clients.
Improved scraper efficiency through optimized requests.
Improved scraper efficiency through caching.
Engineered and maintained 500+ production-grade web scrapers for large-scale data acquisition., Integrated data pipelines with diverse databases MySQL, PostgreSQL, MongoDB, NoSQL, and Amazon Redshift., Deployed and scheduled scrapers on Linux servers via Cron., Developed end-to-end ETL workflows for enterprise clients., Improved scraper efficiency through optimized requests, caching.
Developed Android applications.
Collaborated with UI/UX teams.
Developed Android applications and collaborated with UI/UX teams.
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