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1. Data-Pipeline-with-AWS-DynamoDB Data-Pipeline-with-AWS-DynamoDB Public

   This project uses AWS Lambda to fetch live weather data from an API and store it in DynamoDB. Changes in DynamoDB trigger another Lambda function to format and store the data in CSV files on Amazo…

   Python

2. zillow-data-analytics zillow-data-analytics Public

   A Python script extracts data from Zillow and stores it in an initial S3 bucket. Then, Lambda functions handle the flow: copying the data to a processing bucket and transforming it from JSON to CS…

   Python

3. Flipkart-Data-Analysis-Using-PySpark-on-Databricks Flipkart-Data-Analysis-Using-PySpark-on-Databricks Public

   The project focuses on building an end-to-end data engineering pipeline using PySpark to address real-world business scenarios. Key steps include exploring and understanding the dataset structure, …

   Jupyter Notebook

4. Superstore-Data-Analysis-using-AWS Superstore-Data-Analysis-using-AWS Public

   This project builds a pipeline to analyze Superstore sales data using the power of AWS. It transforms the data to make it ready for exploration. Querying the transformed data using SQL queries to u…

5. Ipl-data-analysis-with-powerbi Ipl-data-analysis-with-powerbi Public

   This project involves integrating live cricket score APIs into Power BI to enable real-time updates of match data. Data is fetched using Python in Power BI for cleaning and transformation. Within P…

   2 1

6. IPL-Data-Analysis-Project-Using-Apache-Spark-on-Databricks IPL-Data-Analysis-Project-Using-Apache-Spark-on-Databricks Public

   This project focuses on performing an end-to-end analysis of IPL data using Apache Spark on Databricks. It begins with setting up a Databricks environment, followed by ingesting and exploring the I…

   Jupyter Notebook