Syed Abuthahir
About Candidate
Data Analyst and Engineer with hands-on experience in data extraction, data processing, automation, and analysis using Perl and MySQL. Skilled in building ETL pipelines, web scraping, data validation, and reporting. Strong background in analytics, databases, Linux systems, and performance optimization. Experienced in supporting business decisions through accurate data insights and automation.
Location
Education
Work & Experience
• Developed automated data extraction pipelines using Perl for business and marketing datasets. • Collected structured and unstructured data through web scraping techniques. • Cleaned, validated, and transformed raw data into structured formats. • Stored and managed datasets in MySQL databases. • Built ETL workflows to support reporting and analytics. • Improved data accuracy and system reliability, reducing recurring issues by 25 percent. • Applied data transformation techniques to handle high-cardinality categorical data and improve dataset usability.
• Implemented technical SEO including XML sitemaps, robots.txt, canonical tags, and site speed optimization. • Worked with large datasets including backlinks, crawl data, and search metrics. • Managed backlink audits, toxic link removal, and Google My Business optimization. • Conducted competitor and keyword analysis to enhance website performance.
• Provided technical support for data systems and business applications. • Diagnosed and repaired desktops, laptops, printers, and peripherals. • Provided on-site and remote support using ticketing systems. • Performed data backup, restoration, and patch management to ensure data security. • Monitored system performance and supported reporting requirements.
• Designed and implemented Perl-based automation and data extraction scripts. • Extracted and processed structured data from HTML, XML, and JSON formats. • Designed MySQL database schemas for structured data storage. • Implemented logging, validation, and error handling to ensure data integrity. • Supported deployments and issue resolution through ITSM tools. • Identifying and removing identical, redundant entries to avoid skewed analysis. • Converting text fields to UTF-8 to resolve irregular or unrecognizable patterns.
• Developed Perl scripts for automated data collection and processing. • Managed large-scale data extraction with pagination and dynamic content handling. • Delivered structured datasets for reporting and analysis.
• Assisted customers with product selection and demonstrations. • Managed documentation, registration, and insurance coordination.
