-Designing and implementing robust data pipelines to ingest legal data from various global sources, including websites and databases.-Identifying key legal domains and jurisdictions that require regular data updates to ensure comprehensive coverage on the platform.-Developing automated tools to streamline the data collection process, reducing manual effort and improving data accuracy.-Conducting thorough checks to validate and verify the accuracy and relevance of the sourced data.-Managing the storage of sourced data in a structured and searchable format within LinkinLegal's proprietary database.

-Designing and implementing data extraction solutions to gather and analyze data from diverse sources, focusing on the financial industry.-Developing and deploying ETL pipelines to automate data extraction, cleaning, and loading processes.-Utilizing cloud technologies and platforms such as AWS EC2,AWS S3,ScrapeOps, ScrapyD, ScrapyDWeb, and Zyte to enhance data scraping and management capabilities.-Creating data-driven mobile applications using Flet Python to support innovative solutions.