Niul Panvalkar

• Designed and implemented an event-driven data pipeline architecture to transform data from Google search phrases and load into the target system using AWS Lambdas. • Utilized Node.js and AWS services such as SQS, Lambda, Elasticsearch, Cloudwatch, EC2, and S3 to build highly efficient and reliable APIs. • Created a reusable utility to efficiently search and extract data from ElasticSearch, compress and stream it to AWS S3, generating a secure pre-signed URL for download. • Developed a web scraping solution using the Cheerio NPM package, which extracts useful content from HTML pages in JSON format for website recommendation. • Improved performance by 40% by using efficient Node.js APIs to query Elasticsearch indices.

• Designed and implemented OAuth authentication patterns to enable users to sign in through various social media accounts. • Ensured the security of microservices by implementing Amazon Cognito authentication to authorize users from multiple user pools. • Built REST API endpoints using Node.js to extract data from SQL databases