Qiang MENG
Experienced data leader with a decade of expertise in the retail and fashion sectors. I have a proven track record of enhancing business growth and operational efficiency through data-driven strategies.
In my recent role as a Global Data Engineering Manager, I spearheaded a diverse team of more than 15 professionals from 13 countries. Together, we executed a comprehensive data strategy that revolutionized our organization's approach to various use cases in FS22, including Products Assortment, Stock Allocation, Price, and Promo.
I played a pivotal role in recruiting and mentoring this team, which excelled in building scalable, reliable, and reusable data solutions. Notably, we established the first Feature Store within my current company. Additionally, I took charge of creating engineering best practices, policies, processes, and documentation, ensuring robust and scalable solutions.
As a technical lead, I encouraged craftsmanship, innovation, and the adoption of the latest Data and AI best practices. I led successful projects, such as an AI garment design initiative, and our team triumphed in a hackathon focused on Fashion Forecasting using Deep Learning, leveraging fashion magazine images and text.
My extensive experience spans Engineering, Data, Analytics, AI, Fashion & Retail, and Management, providing me with a unique and comprehensive skill set. I am enthusiastic about leveraging data to drive business success and am eagerly seeking opportunities to lead data-driven initiatives in the dynamic retail and fashion industry.
Work Data, Feature, and Software Engineering: Building better tech together.
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L*vis Feature Store
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(WIP) Data Catalog and Lineage
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(WIP) Data Quality
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ETL - L*vis EU Data Lake
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ETL - H*M Centralized Data Lake
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Airline Scheduling Optimization
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ETL - S*ftbank Data Flow
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(WIP) CICD at L*vis
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BI - Kps*le Dashboard
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ETL - HDFS-K System
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Real-Time Monitoring - Kps*le Stats Controller
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BI - Miniboard
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ETL - AWS GLUE Serverless
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(WIP) Dataiku Industrialization
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Full Stack - Kps*le Backend Office
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Full Stack - Computational Biology Wikipedia
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Way of Working Unlocking Efficiency through Industrialized Data Engineering.
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Data Team Growth
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(WIP) Agile Methodology
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Squad
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(WIP) Learning Sessions
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Python Best Practices
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SQL Best Practices
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Personally Identifiable Information (PII)
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(WIP) Release Process
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(WIP) Data Naming Convention (NC)
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(WIP) Cloud Migration from AWS to GCP
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Conferences Unlock the power of data and AI with my expert insights.
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Scale and Optimize Data Engineering Pipelines with Best Practices: Modularity and Automated Testing - Data + AI Summit 2020
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5 Recipes to Scale your Airflow Data Pipelines - Data Innovation Summit 2021
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5 Recipes to Fashionable Airflow Data Engineering Pipelines - PyCon 2021
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Next?
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Fashion Retail, fashion, and art merge in a beautiful fusion of creativity, expression, and commerce.
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"The Love That Dare Not Speak Its Name." Oscar Wilde
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NLP & CV - AI Fashion Forecast
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(WIP) NLP & CV - AI Garment Design
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20K Leagues Under The Sea
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(WIP) Shining Night Star
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(WIP) Shine On: Custom Team Apparel
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(WIP) Eerie Chic: Pennywise Collection
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(WIP) Taoist Trucker
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(WIP) Hare's Noir
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(WIP) Fabric Speaks
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(WIP) Creativity on Garments
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(WIP) Painting on Garments
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(WIP) Oil Painting: Spring Light at First Glance
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Next?
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Contact Eagerly await the chance to connect with you
Qiang MENG
qmeng1987@gmail.com
+44 7541 629 739
(11h -13h, after 17h, BST)
London, UK