← Selected work
CASE FILE 04 / Supply-chain data engineering · 2019Supply-chain analytics

Reliable delivery data, built around real calendars.

Calendar-aware pipelines for expected-delivery calculations and supply-chain reporting.

MY ROLE
Data engineering & delivery-date logic
ENGAGEMENT
Enterprise client engagement through TCS
STATUS
Delivered project · 2019
01 / CONTEXT & OWNERSHIP

A delivery date has dependencies.

Supply-chain reporting depends on expected delivery dates that reflect operational calendars and transit time.

My contribution

Data engineering and delivery-date processing logic for supply-chain reporting.

02 / ARCHITECTURE & DECISIONS

Inside the system.

01
Operational inputsOrders · Logistics records
02
Calendar logicOperational holidays · Transit time
03
Expected deliveryCalendar-aware delivery dates
04
Performance viewSupply-chain reporting
Conceptual flow · Simplified from documented project scope
01

Incorporated warehouse holidays, public holidays, transit time, and delivery-calendar dependencies into expected-date calculations.

02

Transformed operational and logistics data into analytics-ready datasets.

03

Created pipelines to calculate and track delivery-performance measures.

SQL · Data pipelines · Supply chain modelling

03 / EXECUTION

From design to delivery.

Collaborated with stakeholders on solution design and delivered data-engineering work for supply-chain analytics.

04 / OUTCOME & EVIDENCE
2019supply-chain delivery analytics

Enabled supply-chain performance reporting with delivery-date calculations that account for operational calendars and transit time.

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