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.
<p>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.<br>
Utilized web scraping techniques to gather pricing data from competitor websites, enabling real-time monitoring and analysis of market trends and competitors' pricing strategies.<br>
Developed scalable python code to collect data from diverse websites, ensuring efficient and accurate data extraction.<br>
Navigated through anti-scraping measures on websites, employing innovative techniques to overcome challenges and gather insightful data.<br>
Monitored and optimized web scraping processes, continuously improving efficiency and speed to meet project requirements and deadlines.<br>
Proficient in data visualization and analysis tools such as Tableau and Python libraries, enabling meaningful insights and reporting from scraped data.</p>
<p>Handled various tasks, including configuring websites, performing web crawling, setting up dashboards, and delivering reports using Azure.<br>
Processed a substantial daily report consisting of 200,000 data points gathered from 15 different websites.<br>
Received client appreciation by email acknowledging efforts.<br>
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.<br>
Implemented an email alert system for report uploads to Azure, along with email distribution.</p>
<p>Responsible for automating the entire process, encompassing web crawling, quality control steps, and report delivery.<br>
Generated a daily report, involving the processing of 50,000 data points from 30 distinct websites.<br>
Acknowledged with a Spot Award and an appreciation email from the client.<br>
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.</p>
<p>Successfully transitioned the project from Scrapy to Python.<br>
Managed the generation of a daily report, which involves handling 100,000 data points from 10 different websites.<br>
Recognized and honored with a Spot Award for contributions.</p>
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