CharanKumar S.

• Developing web scraping workflows using Python and Celery to gather structured data for SEO analysis. • Implementing JavaScript-based optimizations to improve page performance and user experience. • Enhancing page ranking by analyzing site data and applying actionable SEO strategies. • Building Automated data pipelines to track keyword performance, traffic metrics, and competitor analysis. • Collaborating with cross-functional teams to ensure SEO best practices across web pages. • Monitoring and reported on the impact of optimizations, driving continuous improvements in search visibility.

• Worked on Acryl Data Hub, ensuring seamless data management and governance. • Integrated Data Quality (DQ) rules from Collibra to Acryl as assertions to enhance data reliability. • Focused on data observability in Acryl, ensuring data integrity and consistency. • Developed and fine-tuned assertions in Acryl, improving proactive issue detection and resolution. • Collaborated with cross-functional teams to enhance data governance and compliance standards.

• Migration of customer catalog data ingestion ETL pipeline from AWS glue to AWS lambda reducing costs by 70%. • Developed a JSON to Parquet data transformation pipeline for multiple clients and segregated source resulting in a reduction of 85-93% in the data scanning for Athena Queries, as well as a decrease of 70-75% in query execution time • Maintain Data Lake and Data Warehouse. Working on reporting service, owning, and maintaining QuickSight dashboards implemented on the big databases. • Develop and maintain back-end components using Node JS, including all server-side network components, to ensure optimal performance of the central database and responsiveness to front-end requests. • Write testable, reusable, and efficient code to develop high-performance applications, while coordinating with front-end developers and working with microservice-based architecture. • Take ownership of existing data pipelines for downstream systems, writing and optimizing SQL queries to extract and transform data, and ensuring SLA-bound jobs are completed and production issues are resolved on time. • Maintain the Data Lake and Data Warehouse, working on reporting services and implementing big databases. Own and maintain QuickSight dashboards built on top of the data warehouse. • Produce clean, validation-ready code for web crawling projects, including working on POC and client Adhoc requirements. Implement new price crawlers as per client needs and work on deep crawls to add additional attributes. • Investigate technical challenges to identify the root cause and provide expedient resolutions. Collaborate with a team to develop code for new clients and fix data issues from the client side.

Developing Scrapy bots using python selenium. • Worked on libraries like Request , Beautiful soup • Build Scrapy Bots for large websites • Python and Selenium Automation tools • Presented data models to business teams for review. • Worked with complex datasets.

WebScraping / Data mining Expert using Python and Deployment of python • ELT application on Cloud platform like Heroku , GCP , AWS and Pythonanywhere. • Writing Efficient & Scalable Scrapy bots. • Integration of databases with bots. • Writing scalable code using Python programming language. • Testing and debugging applications. • Developing back-end components. • Reprogramming existing databases to improve functionality.

webscraping using python selenium.