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KUHL
5 months
Fashion and lifestyle
North America
KÜHL is a premium outdoor apparel brand known for its high-performance clothing designed for adventure and active lifestyles. With a strong focus on innovation and quality, KÜHL offers a wide range of gear tailored for hiking, climbing, and outdoor exploration. The company emphasizes sustainable practices and cutting-edge design to deliver durable, stylish, and functional apparel to outdoor enthusiasts worldwide.
Fully automated, scalable pipelines using GCP tools
Centralized BigQuery warehouse for unified analytics
Modular data architecture supports agile experimentation
Cross-channel insights delivered in near real-time
Data Engineer
Cloud Architect (GCP Specialist)
Data Analyst / BI Developer
Project Manager / Scrum Master
Full Time Contract
Eliminating Data Gaps, Inefficient Reporting, and Weak Customer Understanding
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Manual data handling slowed down insight generation
Existing systems couldn’t handle growth in data volume or complexity
No unified platform to support cross-channel analysis
To enable faster, more flexible product insights, we need to design a robust and scalable data pipeline that automates ingestion, transformation, and analysis across sources. Leveraging orchestration tools will minimize manual effort and improve reliability. The new architecture must support agile experimentation, allowing teams to iterate quickly and validate marketing strategies with confidence. Ultimately, this system should empower cross-functional teams with timely, accurate, and actionable data at scale.
● How do we build a robust and scalable data pipeline?
● What tools ensure automated orchestration and minimal manual effort?
● How can we improve the speed and flexibility of product insights?
● Can the new system support rapid experimentation and agile marketing?
Centralized Job Data Infrastructure and Analytics
To support scalable and efficient product analytics, we implemented an automated data pipeline using Google Cloud’s modern tooling. DAGs were orchestrated through Cloud Composer to automate ETL workflows, while Cloud Functions provided modular execution and event-driven triggers for dynamic tasks.
All ingested data was stored and modeled in BigQuery, ensuring high-performance querying and scalability. SQL-based transformations were managed using Dataform, enabling structured, version-controlled modeling and seamless deployment.
This architecture not only reduced manual effort but also improved agility, allowing marketing and product teams to gain rapid, reliable insights for faster experimentation and decision-making.
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faster data processing across product lines.
uplift in product conversion rates through improved campaign agility.
hours/month saved from manual data management tasks.
real-time visibility into all marketing channel performance
DataRopes.ai is a global technology partner which delivers end to end services like data engineering, data analysis, data science and AI & ML
Reviewed on
150 E B St Lbby # 1810
1106 A, 11th floor, Haly Tower,
Sector R DHA Phase 2, Lahore
DataRopes.ai is a global technology partner which delivers end to end services like data engineering, data analysis, data science and AI & ML.
Reviewed on
Address
150 E B St Lbby # 1810
1106 A, 11th floor, Haly Tower,
Sector R DHA Phase 2, Lahore
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