Ikonnect.services
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Data Engineering2025

Retail Analytics Pipeline

6 hours of manual reporting → 0

A multi-channel retailer needed one trustworthy view of sales — without a person rebuilding it by hand every morning.

PythonAirflowPostgreSQL

6 hrs → 0

Daily manual reporting

4

Sales channels unified

<5 min

Fresh data each morning

The challenge

Every morning, someone rebuilt four separate sales reports by hand — roughly six hours of copy-paste before anyone could see how the business was doing, with errors creeping in most weeks.

Our approach

  1. 1

    Mapped every source system and agreed a single set of analysis-ready tables with the finance team.

  2. 2

    Built idempotent ELT pipelines that ingest all four channels on a schedule, with data-quality checks and anomaly alerts.

  3. 3

    Delivered clean tables plus a morning summary posted straight to Slack before the team logs on.

The outcome

  • Six hours of daily manual reporting eliminated entirely.

  • Anomalies now surface automatically instead of being caught days later.

  • Finance works from one source of truth instead of four spreadsheets.

What used to take my team a full day every Monday now lands in Slack before we wake up.
Operations Director · E-commerce brand

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