Experienced Data Engineer with over three years of demonstrated success supporting retail e-commerce businesses in pricing intelligence, web scraping, data extraction strategies, and data analysis. Proficient Data Engine…
Experienced Data Engineer with over three years of demonstrated success supporting retail e-commerce businesses in pricing intelligence, web scraping, data extraction strategies, and data analysis. Proficient Data Engineering specialist experienced in developing, implementing, and automating scalable solutions using a diverse set of web scraping tools and technologies. Holds a Bachelor of Engineering degree in Computer Science and possesses strong problem-solving skills with meticulous attention to detail, consistently achieving high-quality results.
Experienced Data Engineer with over three years of demonstrated success supporting retail e-commerce businesses in pricing intelligence, web scraping, data extraction strategies, and data analysis. Proficient Data Engineering specialist experienced in developing, implementing, and automating scalable solutions using a diverse set of web scraping tools and technologies. Holds a Bachelor of Engineering degree in Computer Science and possesses strong problem-solving skills with meticulous attention to detail, consistently achieving high-quality results.
Designed advanced web scraping solutions to overcome website measures that block web scrapers, ensuring data accuracy and quality, and optimizing the scraping processes for efficiency.
Utilized web scraping techniques to gather pricing data from competitor websites, enabling real-time monitoring and analysis of market trends and competitors' pricing strategies.
Developed scalable python code to collect data from diverse websites, ensuring efficient and accurate data extraction.
Navigated through anti-scraping measures on websites, employing innovative techniques to overcome challenges and gather insightful data.
Monitored and optimized web scraping processes, continuously improving efficiency and speed to meet project requirements and deadlines.
Proficient in data visualization and analysis tools such as Tableau and Python libraries, enabling meaningful insights and reporting from scraped data.
Handled various tasks, including configuring websites, performing web crawling, setting up dashboards, and delivering reports using Azure.
Processed a substantial daily report consisting of 200,000 data points gathered from 15 different websites.
Received client appreciation by email acknowledging efforts.
Developed quality assurance statistics to obtain Price Change More than 30% per source, Total SKUs in the report compared to the total per source, and Total ZIP codes in the report compared to the total per source.
Implemented an email alert system for report uploads to Azure, along with email distribution.
Responsible for automating the entire process, encompassing web crawling, quality control steps, and report delivery.
Generated a daily report, involving the processing of 50,000 data points from 30 distinct websites.
Acknowledged with a Spot Award and an appreciation email from the client.
Constructed quality control statistics for the client, encompassing the recording of Out-of-stock (OOS) counts, In Stock data, MSRP reports, Match rates, and UPPV match rates.
Successfully transitioned the project from Scrapy to Python.
Managed the generation of a daily report, which involves handling 100,000 data points from 10 different websites.
Recognized and honored with a Spot Award for contributions.
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