Automation framework to catalog AWS data sources using Glue

This project repo 📺 offers a robust solution meticulously crafted to efficiently manage, process, and analyze YouTube video data leveraging the power of AWS services. Whether you're diving into structured statistics or exploring the nuances of trending key metrics, this pipeline is engineered to handle it all with finesse.

Working with Glue Data Catalog and Running the Glue Crawler On Demand

Creating an audit table for a DynamoDB table using CloudTrail, Kinesis Data Stream, Lambda, S3, Glue and Athena and CloudFormation

Unveiling job market trends with Scrapy and AWS

Developed an ETL pipeline for real-time ingestion of stock market data from the stock-market-data-manage.onrender.com API. Engineered the system to store data in Parquet format for optimized query processing and incorporated data quality checks to ensure accuracy prior to visualization.

Smart City Realtime Data Engineering Project

These are the handwritten notes on Coursera's Practical data science specialization course.