• Design, build, and maintain scalable ETL/ELT pipelines from diverse ERP sources into centralized Data Lakes and Warehouses • Develop connectors for structured/semi-structured data using Python, SQL, APIs, or middleware solutions • Implement bronze, silver, and gold layers for ingestion, cleaning, and curated datasets • Organize data structures for optimized use in Power BI and AI systems • Align global units of measure (lbs, kg, packaging, linear feet) across products and regions • Execute data deduplication, enrichment, and harmonization from disparate systems • Work closely with the Data Architect Lead on schema definitions, partitioning strategies, and infrastructure design • Set up and maintain sandbox/staging environments for safe testing • Provide ready-to-use, clean datasets to support BI dashboards and AI/ML use cases • Document pipeline architectures, data transformation logic, and integration points clearly • Ensure adherence to data governance policies and assist with metadata management