Modernizing Data Infrastructure
to Support Scalable Retail Marketing
New Engen is a digital marketing agency focused on driving measurable growth for retail brands through data-driven, multi-channel strategies.
To support its continued growth and evolving service model, New Engen partnered with Dualboot on a data infrastructure modernization initiative, designed to centralize client data, improve reporting reliability, and create a scalable foundation for advanced analytics and future expansion.
The Opportunity
As New Engen scaled its client base and expanded the number of marketing platforms and data sources it supported, its data environment became increasingly complex. The agency operates under a hybrid model, combining a self-service technology platform with white-glove agency services, which means the underlying data infrastructure needed to serve both enterprise clients and internal teams with equal reliability.
However, existing systems lacked the scalability, automation, and orchestration required to meet rising expectations for faster, higher-quality insights. Manual processes and fragmented pipelines increased the risk of data latency and quality issues, making it harder to support multi-client reporting, campaign optimization, and long-term analytics initiatives.
To continue growing without operational friction, New Engen needed a centralized, cloud-native data platform capable of handling diverse data sources while remaining flexible and repeatable across clients.
The Solution
Dualboot partnered closely with New Engen’s Business Technology leadership to design and implement a future-ready data infrastructure built on Google Cloud Platform. From the outset, the engagement focused on creating a scalable, modular system that could grow alongside New Engen’s client portfolio—without adding unnecessary complexity.
The technical approach was anchored around three core principles:
- Orchestration-first architecture
Data workflows were automated using Airflow to reduce manual touchpoints, improve reliability, and enable consistent monitoring and recovery across pipelines. - Modular and reusable design
Client-agnostic pipelines and orchestration patterns were developed so new clients and data providers could be onboarded quickly with minimal customization. - Cloud-native optimization
The platform leveraged BigQuery for scalable storage and querying, dbt for transformation and lineage tracking, and Adverity for flexible marketing data ingestion—ensuring high-performance analytics at scale.
Beyond technical execution, Dualboot emphasized alignment with New Engen’s business goals. Every architectural decision was evaluated through the lens of reducing future onboarding friction, improving data governance, and accelerating reporting timelines. Maintaining a consistent delivery team throughout the engagement ensured deep context, faster iteration, and continuity as requirements evolved.
The Impact
Through a collaborative, agile engagement, Dualboot helped New Engen establish a scalable and resilient data foundation that supports both current operations and future growth.
- Up to 50% reduction in client onboarding time enabled by a replicable, modular Airflow DAG architecture
- 30% faster time-to-insight through automated data ingestion, transformation, and orchestration
- Improved data quality and reliability supporting more accurate client reporting and campaign optimization
- Greater flexibility and scalability allowing New Engen to seamlessly integrate new data sources as client needs evolve
With a modern, centralized data platform in place, New Engen is now positioned to scale its retail marketing services more efficiently: delivering faster insights, stronger performance, and long-term analytics capabilities across its growing client base.
