Engineer for Project IRIS, building high-performance spatial ETL pipelines that download and process massive public data dumps (corporate registers, PRTR, energy grids) into a central PostgreSQL/PostGIS architecture, with Docker-based ingestion and idempotent multi-million-row weekly updates. Core stack: Python (SQLAlchemy, Pandas), PostgreSQL, PostGIS, Docker.
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