Real Amazon Datasets.
No Lead Magnets.
Stop practicing on simplified Kaggle CSVs. Download messy, relational Amazon SP-API, Ads, and FBA logistics datasets engineered with real-world time-series seasonality and operational anomalies to pressure-test your dbt and SQL pipeline skills.
- 01. Realistic Operational FlawsUnlike static toy datasets, our files contain duplicate IDs, missing attribution tags, and timezone shifts to test data hygiene.
- 02. Time-Series SeasonalityHardcoded with realistic Prime Day and Q4 holiday revenue spikes, stockouts, and advertising CPC inflation.
- 03. Open Educational StandardBuilt to help data analytics and engineering students build verifiable portfolio projects without email gatekeeping.
SP-API Settlement & Financial Ledgers (8-Figure Brand Mock)
Raw, uncleaned financial event payloads (GET_FINANCES_DATA) representing 12 months of daily settlement reports and unallocated refund ledgers.
- [!]Duplicate settlement transaction IDs
- [!]UTC to PST timezone boundary shifts
- [!]Unallocated ProductFees & missing ASIN tags
Amazon Ads PPC & AMC Multi-Touch Attribution Stream
Relational ad spend ledgers across Sponsored Products, Sponsored Brands, and mock AMC SQL conversion events. Built to practice SKU-level True TACoS attribution math.
- [!]Q4 holiday time-series seasonality spikes
- [!]Zero-conversion "vampire keyword" clusters
- [!]Delayed 7-day attribution conversion windows
FBA Inventory Velocity & 3PL Landed Freight Records
Relational warehouse stock snapshots, aged FBA storage fee tables, and ocean container freight invoices. Ideal for building restock velocity models and carton-level COGS engines.
- [!]Sudden FBA fulfillment dimension fee shifts
- [!]Lost inventory reimbursement adjustments
- [!]Split-shipment 3PL transfer delays
A Better Alternative to Kaggle for Data Students.
Standard data science curricula rely heavily on clean, well-behaved datasets. In the real e-commerce world, data pipelines fail because of unannounced API schema changes or delayed settlement reports. We provide these benchmarks so students can train on actual production challenges.
- × Pre-cleaned and flattened CSV tables
- × Zero relational Medallion layer structures
- × Missing real-world accounting timezone anomalies
- × Irrelevant to modern 8-figure e-commerce brands
- ✓ Raw JSON SP-API payloads & Parquet ad streams
- ✓ Structured for Bronze, Silver, and Gold dbt models
- ✓ Hardcoded with real holiday seasonality & currency bugs
- ✓ Directly applicable to high-value e-commerce portfolios
Related Engineering Documentation & Architecture Logs
Sovereign Medallion Data Infrastructure for Amazon Sellers
Explore All 40+ Direct SP-API & Logistics Integrations
Amazon Germany | Smart Home Automation & IoT Sensors Report
Deploy the OS.
Own Your E-Commerce Data Pipeline.
Deploy the OS directly into your client-owned BigQuery warehouse. Regain absolute control over your e-commerce unit economics today.