How Amount Modernized Its Data Platform with UTurn to Reduce Customer Onboarding Time

Company

Amount

Industry

Fintech, SaaS

Services

Cloud Migration

Amount modernized its data environment on AWS with UTurn, cutting onboarding time and boosting reliability.

Key Benefits

Faster onboarding
Improved reliability
Reduced management overhead
Scalable architecture
Increased productivity

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Facing rapid growth and increasing data complexity, Amount partnered with UTurn Data Solutions to modernize its data environment on AWS—reducing onboarding time, increasing reliability, and freeing engineering teams to focus on innovation.

The Challenge

As Amount scaled its digital lending platform for major financial institutions, the company’s existing data infrastructure could no longer keep pace with business growth.

Early-stage tools that had served the company well—such as Luigi for data pipelines and a third-party hosted big data platform—were struggling under increased data volume and processing demands. The system’s unpredictable uptime, missed SLAs, and high maintenance overhead created operational bottlenecks and risked customer satisfaction.

Amount needed a modern, flexible, and secure data platform capable of:

Handling large-scale data processing across multiple AWS services (Aurora, Postgres RDS, and S3).
Reducing management overhead and dependency on third-party hosted solutions.
Meeting strict data security and compliance standards.
Accelerating onboarding time for new clients while improving reliability and cost efficiency.

The Solution

To define a modernization roadmap, Amount turned to its trusted partner UTurn Data Solutions—an AWS Advanced Tier Services Partner with deep expertise in cloud, data, and DevOps transformation.

UTurn evaluated multiple technologies and collaborated with Amount’s data and DevOps teams to design a scalable, AWS-native solution. Together, they selected:

Apache Airflow (via Astronomer) for managed data orchestration, replacing Luigi.
AWS EMR to replace the third-party big data processing platform, ensuring predictable cost, uptime, and runtime.
Terraform for infrastructure-as-code automation and reusability.
AWS Elastic Kubernetes Service (EKS) to host Astronomer and Airflow within a secure, compliant environment.

UTurn validated all technical and security requirements, built and deployed a production-ready environment, and facilitated a seamless migration from legacy pipelines to the new AWS-native architecture. The Terraform templates established a repeatable, scalable model for onboarding new tenants—reducing manual effort and ensuring future consistency.

Tech Stack:

AWS EMR · Apache Airflow (Astronomer) · Terraform · AWS EKS · AWS S3 · Aurora · Postgres RDS

Measurable Results

Faster onboarding: Significantly reduced onboarding time for new clients.
Improved reliability: Met SLAs consistently with AWS EMR, eliminating prior downtime and unpredictability.
Reduced management overhead: Streamlined operations allowed data and DevOps teams to focus on innovation rather than maintenance.
Scalable architecture: Successfully deployed eight separate Airflow environments through the Systems Reliability Engineering (SRE) team.
Increased productivity: Data teams gained faster testing and approval cycles, accelerating time-to-insight.

“UTurn helped us modernize our data platform in a way that’s scalable, reliable, and easier to manage. Their AWS expertise allowed us to accelerate client onboarding and focus on delivering value.”

Why UTurn

Amount chose UTurn for its ability to combine technical depth with business-driven outcomes. As an AWS Advanced Tier Services Partner with a proven record in data modernization, UTurn delivered a secure, scalable, and cost-effective platform that empowered Amount’s teams to realize lasting value from their cloud investment.