Automated Data Ingestion from Google Drive CSV Files Using PySpark

Group: Business Requirement

Product Category: Cloud & Data Engineering

Sub Category: Apache Spark

About this Product

Implementation of Google Drive CSV Data Extraction & Ingestion using PySpark is a practical implementation guide that teaches you how to build a production-ready cloud storage ingestion framework using PySpark.

This guide demonstrates how to extract CSV files directly from a Google Drive folder and ingest them into the RAW (Bronze) layer of modern data engineering platforms, including Microsoft Fabric, Databricks, Snowflake, BigQuery, Synapse, or any Lakehouse environment. You'll implement a folder-driven ingestion process that automatically discovers and loads every CSV while handling retries, audit metadata, and reconciliation.

Product Highlights:

Build a reusable Google Drive CSV ingestion framework using PySpark.
Automatically discover and ingest every CSV from a configured Drive folder.
Load CSV files into the RAW (Bronze) layer of modern data platforms.
Implement folder discovery, retries, and download validation.
Add audit metadata, structured logging, and reconciliation checks.
Learn secure and scalable cloud storage ingestion practices.

By completing this guide, you will:

Build scalable CSV ingestion pipelines using PySpark.
Implement automated folder discovery and file ingestion.
Apply enterprise best practices for reliability, monitoring, and validation.
Develop reusable cloud storage ingestion frameworks.
Build configurable ingestion pipelines for different storage platforms.

Why this project matters:

Cloud storage is a primary source for modern data engineering pipelines. This guide teaches industry-standard techniques for building secure, scalable, and automated file ingestion frameworks that reliably move CSV data into analytics platforms while ensuring data integrity and operational efficiency—skills expected in modern Data Engineering roles.

Automated Data Ingestion from Google Drive CSV Files Using PySpark

90% OFF

Topics: PySpark, Cloud Storage Ingestion, Google Drive, CSV Processing, Data Engineering, ETL Pipeline Development

Languages: English

Skills: PySpark, Google Drive, CSV, gdown, File Discovery, Cloud Storage

Business Domain: Cloud Data Integration

Level: Intermediate

$10.00 $1.00

Add to Cart

Implementation of Enterprise API Data Extraction & Ingestion using PySpark

Topics: PySpark, REST API Integration, Data Engineering, API Data Ingestion, ETL Pipeline Development, JSON Processing

$10.00 $1.00 90% OFF

Automated Data Ingestion from Google Drive CSV Files Using PySpark

Implementation of Enterprise API Data Extraction & Ingestion using PySpark

Implementation of Schema Wide Database Data Extraction & Ingestion using PySpark

Healthflow Analytics Platform with Snowflake & Medallion Architecture

FinTech Banking ETL Pipeline with PySpark Delta Lake and Medallion Architecture

Large Scale E Commerce Log Processing Pipeline with PySpark & Spark Architecture

IPL Analytics Power BI Dashboard with Cricket Intelligence and DAX Reporting

Full Stack IPL Cricket Analytics Dashboard and Statistics Platform

Personal Finance Tracker with Full Stack Bank Statement Analysis

Retail Banking EDA & Transaction Analytics Platform

AI Powered Meeting Notes Generator

Full Stack Service Booking Marketplace with Consultant Subscription Model

AI powered Resume Analyzer, ATS Scoring & Job Matching Platform

Retail Banking Transaction Processing

Advanced SQL Engineering with Adventure Works: End to End Analytics & Operations

Multi Restaurant Food Delivery Analytics and Engineering Capstone Project with SQL

Political Donation Dashboard

Revenue & Subscription Analytics Dashboard of a music streaming app Using Power BI

User Behavior & Engagement Analytics Dashboard Using Power BI

Restaurant Order and Delivery Analytics Capstone Project with Power BI

Payment & Financial Analytics

Revenue and Retention Metrics Using DAX

Engagement and Discovery Metrics Using DAX

Order Management & Customer Service Analytics

Exploring Listener and Subscription Data in Music Streaming with SQL Analytics

Engagement Intelligence through Behavioral Analysis in Music Streaming with SQL

Playlist Dynamics and Curation Behavior Dataset

Content Performance & Music Catalog Analytics Dataset

Subscription Lifecycle & Monetization Metrics Dataset

User Engagement Dataset

User Engagement Analytics Dashboard Using SQL

Revenue Optimization and Subscription Analytics Using SQL

Content Performance and Artist Analytics Using SQL

Behavioral Insights from User Data Using SQL

Basic Data Exploration and Reporting Using SQL

Analyzing Playlist and Social Features Using SQL

Analyzing Music Discovery and Recommendation Engine Using SQL

Analyzing Content Performance Using SQL

E Commerce Shopping Cart Behaviour Analysis Using SQL

Product Performance Dataset

Enhanced Product Dataset with Reviews

Product Dataset

Product Performance and Inventory Management

Customer Analysis and Segmentation

Employment Relationship Analysis

Basic Professional Data Analysis

Risk and Compliance Monitoring

Professional Qualifications and Development

Registration and Compliance Analysis

Employment and Organizational Analysis

Basic Professional Profile Analysis

Restaurant Performance & Menu Optimization

Customer Acquisition and Behaviour Analysis

Regulatory Compliance Insights with SQL

Financial Professional Insights and Regulatory KPI Analysis using SQL

Organizational Structure and Branch Network Analysis

Regulatory Compliance and Risk Assessment

Professional Profile Analysis

Financial Professionals KPI Analysis using SQL

No Services Yet