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A performant and reliable twitter analytics services on the could developed with a limited budget. Extract, Transform and Load (ETL) on a 1TB twitter dataset and data were loaded to MySQL and HBase. Implemented 3 queries: 1. Heartbeat, 2. User Recommendation, 3. Ranged Query and Topic Words Extraction.
Used Java and Vert.x as the web services framework hosted in AWS Fargate and Lightsail behind an Elastic Load Balancer, protocol buffer for data serialization, MySQL, HBase, and AWS Aurora for data storage and PySpark for ETL.
Ranked 1st place among 35 teams in the Cloud Computing Class in CMU.
A mobile marketplace to connect hiring managers and agency recruiters implemented with React Native and Typescript. Used Linkedin API for OAuth2 login, Google firebase for real-time chat system, authentication and push notifications. Deployed MySQL database to Google Cloud SQL and back-end to Google Cloud Functions for a serverless back-end.
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