Investment Performance Monitor with Power BI

📊 Investment Performance Monitor PowerBI

Here’s an overview of my asset management project, where I built an end-to-end data pipeline to track and analyze the prices of various assets (Crypto, Metals, Stocks) in real-time. The pipeline fetches market data via APIs, processes it with Airflow, stores it in Snowflake, and visualizes it in Power BI.

🔍 Key Features

Automated Data Pipeline using Apache Airflow for scheduling and orchestration

API Integration to fetch real-time prices of Crypto (BTC, ETH, etc.), Metals (Gold, Silver), and other assets

Snowflake Data Warehouse for scalable storage and historical analysis

ETL Workflows for data cleaning, transformation, and loading into fact/dimension tables

Interactive Dashboards in Power BI for tracking trends, asset comparisons, and performance insights

📈 Impact This project enables real-time monitoring of asset prices, provides historical trend analysis, and centralizes data from multiple markets into a single source of truth. It demonstrates how Airflow + Snowflake + Power BI can work together to deliver enterprise-grade analytics.

💡 Tools Used: Apache Airflow, Snowflake, Power BI, Docker, Python,Pandas ✅ Skills: Data Engineering | Data Analysis | Dashboarding | Data Modeling | Real-Time Analytics