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If you’ve ever wondered how a single university assignment can morph into a full‑blown production pipeline, the story of is a perfect illustration. Below is a chronologically‑structured, yet narrative‑driven, recount of how a modest coursework idea grew into a robust, end‑to‑end data‑integration solution for a multinational retailer.

| Scenario | Data Volume | Source | Destination | Avg. Throughput (Rows/s) | CPU Utilization | |----------|-------------|--------|-------------|--------------------------|-----------------| | Bulk Load | 200 M rows | Azure Blob (Parquet) | Azure Synapse (PolyBase) | | 45 % | | CDC Stream | 5 M rows/hr | SQL Server (CDC) | Snowflake | 250 K | 30 % | | SaaS Pull | 10 M rows/day | Salesforce | Azure SQL DB | 85 K | 25 % | | NoSQL → DW | 50 M rows | MongoDB (Sharded) | Azure Synapse (COPY) | 470 K | 55 % | ssis692 full

After graduation, the student (now Alex Rivera ) took the package to the internship. The retailer’s data‑engineering team was impressed and asked Alex to re‑engineer their legacy data‑feeds using the same design principles. If you’ve ever wondered how a single university

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