Loading Portfolio
Preparing your data engineering showcase...
System Initialization
Lakehouse360
End-to-end lakehouse demonstrating ingestion, transformation, and analytics with comprehensive data engineering workflows.
Mar 2024
4 months
Solo project
High
Project Overview
Lakehouse360 is a practical showcase of an end-to-end modern data platform — ingestion, transformation, and analytics — designed for reproducibility.
System Architecture
Key Features
- Config-based ingestion and transformation pipelines
- Automated schema validation
- Fast local analytics with DuckDB
Technical Implementation
architecture
End-to-end data platform
database
DuckDB
processing
Python ETL pipelines
Challenges & Solutions
[ Diagnostic: Roadblocks ]
- Designing scalable architecture for reproducibility
[ Execution: Resolutions ]
- Implemented modern data lakehouse architecture with DuckDB
Impact & Results
Demonstrates modular ingestion → transformation → analytics workflows.
Project Access
Tech Stack
Python
DuckDB
Streamlit
FastAPI
Tags
Data Engineering
Analytics
DuckDB
Streamlit
Python
Key Outcomes
- End-to-end lakehouse demonstrating ingestion, transformation, and analytics
- Integrated DuckDB for high-performance analytics
- Created intuitive Streamlit dashboard interface
- Comprehensive data processing workflows