Simple scaffolding for applications that produce SQS messages
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Updated
Aug 19, 2025 - TypeScript
Simple scaffolding for applications that produce SQS messages
Aws-SQS Fifo
This is a web-based application called "Allergy and Deficiency Analyzer". Tools and Technologies adapted in this project are AWS Cloud for Deployment and programming the services inside the project. Services used are - AWS ElasticBeanstalk, AWS Lambda, AWS CloudWatch, S3, SQS, SNS, DynamoDB. Languages used - Python, HTML, Javascript with CI/CD.
Spring Boot Publishes publishes message to AWS SQS. A Spring boot listener reads from SQS Queue and loads the data in Dynamo DB. DynamoDB Stream triggers a lambda function which inserts data to SNS topic and sends an email upon record insertion
Retail data analysis pipeline utilizing AWS S3, Snowflake, Python, SQL, and Tableau. It demonstrates data transformation and setup in Jupyter Notebook, integrates real-time retail insights via an automated Tableau dashboard with Snowflake, and employs a CRON job in Jupyter Lab connected to Amazon SQS for consistent data updates.
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