501M Row Migration

PostgreSQL Data Warehouse ETL

Data Engineer · 2025 · Data Engineering · Shipped

Designed and executed a data migration at serious scale: 7,216 CSV files containing 501 million rows loaded into a PostgreSQL 16 data warehouse. Built a custom Python ETL pipeline that validates, deduplicates, classifies, and loads data with full error recovery — no rows lost, no duplicates, no silent failures. A React dashboard provides real-time monitoring of pipeline progress, error rates, and table health. The 3-tier classification system organizes everything from raw input into 10 departments and 57 categories.

Highlights

• 501 million rows loaded from 7,216 source files — zero data loss
• 3-tier classification: 10 departments → 57 categories → items
• React dashboard: real-time pipeline monitoring, error rates, table health
• Custom ETL with validation, deduplication, and automatic error recovery

Tech Stack

• Python
• PostgreSQL 16
• React
• ETL Pipeline
• Data Analytics

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