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Muhammad Muneeb

Development
Punjab, Pakistan

Skills

Data Engineering

About

MUHAMMAD MUNEEB's skills align with Programmers (Information and Communication Technology). MUHAMMAD also has skills associated with System Developers and Analysts (Information and Communication Technology). MUHAMMAD MUNEEB has 8 years of work experience.
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Work Experience

Data Engineer

WeCrunch
February 2019 - Present
  • P&G Hotspots Data Engineering milestone which includes automated refreshes of PowerBI reports on the bases of sales and distribution data of Procter & Gamble. Proficiently automated and scheduled ETL pipelines using ADF, maintaining data ingestion and processing workflows regularly, saving 30% of manual team effort. Created a monitoring table to efficiently monitor the logs of daily refresh cycle for each country and category, ensuring data accuracy, consistency and integrity. P&G Launchpad BA Launchpad is a one window solution where the business analysts and brand analyst obtain cleaned raw data from multiple sources for the use of BAs. Designed and developed a complex ETL pipeline using ADF, efficiently extracting, transforming, and loading large volume of data from different sources. Implemented RLS and RBAC security layers on delta tables of Azure Databricks. Optimized the ongoing processing workflow, compressing refresh time by 40%. P&G AMA Ecommerce AMA E-Commerce Shares Dashboard consolidates unstructured and unformatted ecommerse shares data across all AMA markets to create a single uniform system of reporting E-Commerce Shares data across global levels. Leveraged Azure Data Factory, Azure Databricks and Pyspark to design and develop sophisticated and automated ETL pipelines, facilitating seamless extraction, transformation, and ingestion of extensive data from diverse sources. Desiged dimensional model of data from multiple sources and multiple schemas. P&G Workbench P&G Workbench is a leadership dashboard that brings all the data sources together to one location for a leadership review. Joined the project in its later phase, diligently identifying and rectifying bugs as well as ensuring smooth and automated monthly refreshes of the data. Coke Daha Daha A DAAP solution to have a unified place for the data coming from 14+ different data sources like AWS S3, Azure Blob and Rest APIs. Integrated Python Notebooks for extracting data from the Rest APIs and Data Flows for trasformations in automated CI/CD pipelines in Azure Synapse.

Ozi Technologies
September 2018 - January 2019

GPS Speedometer HUD / DashCam / Hire Day Labor
May 2016 - September 2018
  • Android Ecommerce / Woocommerce / Picksha / YallaGas

Education

Govt College University Faisalabad

BS
January 2012 - January 2016