Skip to content
View ManojGowda27's full-sized avatar

Block or report ManojGowda27

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. Realtime_Data_Streaming Realtime_Data_Streaming Public

    This project is a detailed guide for building an end-to-end data engineering pipeline using TCP/IP Socket, Apache Spark, OpenAI LLM, Kafka, and Elasticsearch. It explains every stage from data acqu…

    Python

  2. Reddit_Data_Engineering_project Reddit_Data_Engineering_project Public

    This project provides a comprehensive data pipeline solution to extract, transform, and load (ETL) Reddit data into a Redshift data warehouse. The pipeline leverages a combination of tools and serv…

    Python

  3. Nashville-Housing-Data Nashville-Housing-Data Public

    This repository contains SQL queries used for data preprocessing and transformation on the Nashville Housing dataset. These queries aim to standardize data formats, populate missing values, break d…

  4. ELT-Data-Pipeline ELT-Data-Pipeline Public

    This project implements a data pipeline using industry-standard tools such as dbt, Snowflake, and Airflow. It facilitates the extraction, loading, and transformation (ELT) process of data, enabling…

    Python 1 1

  5. citibike_user_prediction citibike_user_prediction Public

    This project aims to predict the user type of a bike-sharing service based on trip duration. Additionally, the project explores whether a customer could be a potential subscriber by analyzing the f…

    Jupyter Notebook

  6. Movies-Correlation-Using-Python Movies-Correlation-Using-Python Public

    This repository contains Python code for performing data analysis on a movie dataset. The analysis includes visualizations and statistical insights derived from the data.

    Jupyter Notebook