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Ahmad Humayun
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Affiliate & Partner Marketing

Affiliate Network Data Pipelines

Python pipelines for normalizing Awin, Rakuten, and TradeTracker-style affiliate data into reporting-ready transaction tables.

Affiliate Marketing Team · Solo · Selected work

My role & contribution

Engineering work for this individual freelance engagement.

The problem

Built affiliate network pipeline modules for multiple partner marketing sources. Each network had different schemas, date formats, currencies, commission statuses, and export/API behavior, so the work focused on source-specific extractors and shared normalization logic.

Affiliate Network Data Pipelines
Illustrative project visual. Any figures shown are examples, not a statement of client results.

System flow

  1. 01

    Network modules

    Source-specific Python modules collect Awin, Rakuten, and TradeTracker-style data.

  2. 02

    Normalization

    Shared utilities standardize dates, currencies, transaction IDs, commission statuses, and schemas.

  3. 03

    Unified output

    Network-specific records are shaped into one reporting-ready affiliate transaction dataset.

  4. 04

    Validation

    Duplicate IDs, status changes, network totals, and date windows are checked before reporting.

Difficult problems

  • Affiliate networks used different schemas, statuses, currencies, and attribution windows
  • Network-specific exports had to be normalized into one reporting shape
  • Transaction IDs and commission statuses needed duplicate and status validation
  • API settings and merchant/order identifiers needed to stay controlled across the workflow

Work contributed

  • Built separate Python source modules for multiple affiliate networks
  • Created shared normalization utilities for network-specific outputs
  • Defined validation checks for network totals, transaction IDs, dates, and statuses
  • Mapped a reusable pattern for partner marketing transaction reporting

Supported outcome

  • Built separate Python source modules for multiple affiliate networks
  • Created shared normalization utilities for network-specific outputs
  • Defined validation checks for network totals, transaction IDs, dates, and statuses
  • Mapped a reusable pattern for partner marketing transaction reporting

Technologies in context

Python · Awin-style API · Rakuten-style API · TradeTracker-style XML · JSON · XML Parsing · Reporting Tables

Related services & work

Technical reading

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