Cloud Data Pipeline for Real-Time Semiconductor Market Analysis

An automated cloud data pipeline to extract, transform, and visualize semiconductor market data using AWS services and Power BI.

Overview:

  • Objective: Build an automated cloud data pipeline to extract semiconductor market data, transform it, and visualize it in Power BI using cloud-based infrastructure.
  • Key Focus: ETL, Data Engineering, AWS Cloud Services, Python Automation, Real-Time Data Updates.
  • Deployment Status: Live & Scheduled via AWS Lambda & EventBridge.

Technologies Used:

Category Tools/Services
Programming Python (requests, BeautifulSoup, pandas, boto3)
Cloud Services AWS Lambda, AWS S3, Amazon Redshift Serverless, AWS EC2, EventBridge
Database/Querying SQL, Redshift
Automation EventBridge (Scheduled Triggers), Boto3
Visualization Power BI

Workflow Diagram:

Semiconductor Data Pipeline Workflow

Step-by-Step Pipeline Description:

  1. Data Extraction (Python): Scraped semiconductor market data using requests and BeautifulSoup. Handled HTTP requests, added user-agent headers to prevent blocking, and parsed tabular data into a pandas DataFrame.
  2. Data Cleaning & Transformation (Python, Pandas): Removed null values, handled data types (e.g., dates), and formatted currency fields using custom Python functions.
  3. Data Storage (AWS S3): Uploaded cleaned CSV data to AWS S3 bucket using Boto3, leveraging S3 as a cloud storage layer in the ETL process.
  4. Automation & Scheduling (AWS Lambda + EventBridge): Deployed the ETL Python script to AWS Lambda and scheduled execution every 15 days using AWS EventBridge for real-time data ingestion.
  5. Data Warehousing (Amazon Redshift Serverless): Connected S3 data to Amazon Redshift for cloud-based querying and storage, using SQL to analyze sales trends and market growth.
  6. Visualization (Power BI): Connected Power BI to Amazon Redshift and built an interactive dashboard visualizing global semiconductor market growth, market share insights, and AI-driven demand trends.

Key Results & Insights:

  • 2024 Semiconductor Market: $627.6B (+19.1% YoY).
  • AI-Specific Chips: 20% of total sales; NVIDIA holds 88% market share.
  • Future Outlook: Projected to reach $1 trillion by 2030.
Semiconductor Market Visualization

Project Impact:

  • Enabled real-time tracking of semiconductor market trends, providing actionable insights for stakeholders.
  • Improved decision-making by identifying key growth areas and market opportunities.
  • Automated the ETL process, reducing manual effort and ensuring data accuracy.