Fintech Data Pipeline & Automation
End-to-end data pipeline for fintech scenarios integrating Python ETL automation, SQL data warehouse modeling, and ML feature engineering for fully automated data-to-model workflows.
Overview
Key Features
Python-based automated ETL pipeline with multi-source ingestion and incremental updates
SQL data warehouse modeling with star/snowflake schema design
ML feature engineering pipeline with automated feature generation and selection
Automated task scheduling and data quality monitoring
Methodology
Built on Python + SQL end-to-end pipeline using pandas for data cleaning and transformation, SQLAlchemy for database interaction management, and scikit-learn for feature engineering and model training. Architecture design emphasizes reproducibility and incremental processing capabilities.
Tech Stack
Project Info