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Amazon-Quicksight-analytics-
Amazon-Quicksight-analytics- PublicThis is a simple end to end data analytics solution using following AWS services i.e S3, Amazon Athena, Amazon QuickSight
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AWS-Math-Web-Application-Pipeline
AWS-Math-Web-Application-Pipeline PublicDesigned and built a simple web application from scratch. Used different AWS services like Amplify, Lambda, IAM, API Gateway and DynamoDB resulting in a fully-functional math web application.
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loading-api-gateway-data-to-s3-and-query-with-athena
loading-api-gateway-data-to-s3-and-query-with-athena PublicWhen live data is sent by client to api gateway via application or postman, it is stored in s3 bucket. Athena is then used to query files stored in s3
Python 1
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Ride-Sharing-Kafka-Real-Time-Data-Engineering-Project
Ride-Sharing-Kafka-Real-Time-Data-Engineering-Project PublicI have used different technologies such as Python, Amazon Web Services (AWS), Apache Kafka, Glue, Athena, and SQL.
Jupyter Notebook 1
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Used-AWS-EMR-to-process-big-data-using-Spark-and-Hadoop
Used-AWS-EMR-to-process-big-data-using-Spark-and-Hadoop PublicUtlized AWS EMR to process big dataset to filter out the specific data according to my requirements using pyspark code.
Python 1
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