Data scientist sharing accessible Big Data topics (ETL pipelines, data warehouse vs. data lake) and analytics concepts.
📊 The ETL Data Pipeline From raw sources (databases, APIs, files) → clean & transform (cleaning, joining, aggregating) → load into warehouse/analytics for BI, reports & ML. E → T → L: the backbone of modern data workflows.🚀