Truss

Client

Fast-Growing FinTech Startup

Category

Retail

Services

Build-Operate-Transfer (BOT)

The Customer

A UK-based company dedicated to providing actionable data to power the fashion resale and commerce industry. Their mission is to catalog every consumer good ever created and provide comprehensive data access to power frictionless commerce and resale

The Ask

The client sought to develop an automated, scalable solution to manage the extraction, transformation, and storage of product data from multiple fashion price providers. The solution needed to:

  • Automate the ingestion of vendor-specific product data.
  • Transform raw data into an analytics-ready format.
  • Optimize storage for efficient querying and long-term analysis.
  • Seamlessly integrate as a modular component into the existing ETL pipeline.

35

Faster Product Development

40

Specialists Recruited in 60 Days

30

Cost Savings

The Implementation

  • API Complexity: Managed large datasets with AWS Lambda for pagination and batching. Secured API keys using AWS Secrets Manager.
  • Vendor-Specific Data: Applied vendor-specific mappings to raw JSONL, transforming it into Parquet format for optimized querying.
  • Scalability: Used cloud-native architecture (S3 and Lambda) to handle growing data volumes efficiently.
  • Error Handling: Implemented retries and detailed logging with Amazon CloudWatch for robust debugging and resilience.

The Solution

The automated, scalable system addressed challenges effectively, leveraging AWS services for secure and efficient workflows.

  • Automation: Streamlined data ingestion, transformation, and storage, reducing manual effort.
  • Optimized Storage: JSONL for raw data, Parquet for transformed data, cutting costs and boosting performance.
  • Scalability: Designed to handle increasing data with minimal impact.
  • Security: API keys managed with AWS Secrets Manager.
  • Reliability: Improved uptime and faster issue resolution through robust error handling.

Milestones and Growth

  • Captive Center to Hybrid Model Transition: After two years, DCT successfully transitioned the op- erations to the newly created Abacus India entity, transferring all the recruited employees. Post-tran- sition, DCT continues to support Abacus on a hy- brid model, offering flexible burst capacities and additional support as needed. This included orga- nizing bootcamps and providing UI/UX support to maintain service quality and enhance the product development lifecycle.
  • Continued Partnership: The relationship with Abacus has evolved beyond a traditional GCC model. DCT now engages in diverse collaborative and support activities, enabling Abacus to flexibly manage workload peaks and continue innovating without the operational overhead of maintaining a full-scale continuous team.

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