Transform E-Commerce Data with Expert ETL and Cleaning Skills

Transform E-Commerce Data with Expert ETL and Cleaning SkillsTransform E-Commerce Data with Expert ETL and Cleaning Skills

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Daniyal Riaz

• 21h

E-Commerce Customer Data Cleaning & ETL Pipeline Description: Extracted raw transaction records from an e-commerce SQL database, executing initial structural normalization and data filtering within MySQL. Following extraction, migration, and structural staging, conducted advanced data cleansing, schema standardization, and formatting within Microsoft Excel to produce a pristine, production-ready dataset for retail business intelligence.

Workflow & Tools Used:

Data Extraction & Querying: MySQL (Filtering, joining, and database staging)

Data Cleansing & Normalization: Microsoft Excel (Handling missing values, removing duplicate customer records, formatting text data, and verifying data integrity)

Domain Focus: E-Commerce & Retail Metrics

Data Modeling Web Scraping Microsoft Excel MySQL Data Analysis

Ishita Guha Roy

• Jun 25

Data Cleaning & Feature Engineering Using Python

Python Data Analysis Data Engineering Web Scraping

Alvin Salim

• Jun 25

Custom ERP for a Building-Materials Distributor A complete operations platform replacing spreadsheets with one system: sales order → delivery → invoice with stock sync, procurement with approval workflows, multi-invoice settlement with partial payments, real-time receivables/payables, FIFO inventory costing, and an executive P&L/cashflow dashboard. Built for 7 permission-based roles. Stack: Laravel, PHP, MySQL.