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Data platform on AWS

data
modernizacion
dataops
DATA PLATFORM FOR FINTECH
KONFIO case study

Customer challenge

Konfío was dealing with a fragmented data infrastructure that depended on proprietary tools such as Attunity and Matillion, which made scalability, quality control and cost optimization difficult. The company needed a modern, automated data environment built entirely on native AWS services to accelerate its analytics and business intelligence strategy.

Impact

Konfío achieved a more efficient, scalable architecture free of external dependencies. Processing and deployment times were significantly reduced, while maintenance became simpler thanks to the full automation of its workflows.

The new environment allowed the data teams to focus on analysis and decision-making, leaving behind the operational complexity of proprietary solutions.

How the solution was deployed to meet the challenge

GoCloud designed and implemented a 100% serverless architecture on AWS using Glue, Redshift Serverless, S3, Athena and GitLab CI/CD. More than 250 ETLs were migrated and optimized under Infrastructure as Code and DataOps practices, adding automated quality checks and continuous deployment pipelines.

The team of Data Engineers and Data Architects built in validation, versioning and monitoring processes to ensure accuracy, traceability and resilience across the entire data chain.

AWS SERVICES USED AS PART OF THE SOLUTION

  • AWS Glue
  • AWS Lambda
  • Amazon Redshift Serverless
  • Amazon S3
  • Amazon Athena

THIRD PARTY APPLICATIONS OR SOLUTIONS USED

  • GitLab CI/CD

TECHNOLOGIES

Trusted by leading companies using AWS

GoCloud - AWS
GoCloud - Ansible
GoCloud - Azure
GoCloud - Nginx
GoCloud - Google Cloud
GoCloud - Terraform
GoCloud - Kubernetes
GoCloud - Python
GoCloud - MongoDB
GoCloud - GitHub
GoCloud - Docker

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