Hands-on data engineer building and owning pipelines and infrastructure for a large-scale B2B data platform, turning billions of raw records into clean, modelled datasets. Works with Python, SQL, dbt, Airflow, Snowflake, and AWS, integrating LLMs into production pipelines for extraction, enrichment, entity resolution, and validation.
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