We build pipelines that are automated and transform data into formats that are easily accessible by your organization’s analysts. We foster the use of DevOps and help your organization adopt a more inclusive approach between operations and development engineers in the entire service lifecycle.

Data Engineering

We love architecting distributed systems and data stores while collaborating with your business domain experts to create custom-built tools and resilient systems. The usual process for any data engineering project is the following:

  1. Ingest: data is gathered from different kinds of sources: server logs, event logs, transaction logs or message logs.
  2. Process: data is standardized and transformed into an easily accessible format
  3. Store: data is stored into a distributed storage solution that enables fast retrieval
  4. Access: the end results of the pipeline are made accessible to the end user


For us DevOps is not only a set of tools that can be used to automate processes. Our relentless value and obsession is to help especially management embrace lean thinking and agile methods in product development. We also focus deeply in the cultural impact of bringing developers, operations and business people together towards a common goal. The end results of our resilient approach manifest in following ways:

  1. Release automation
  2. Configuration management
  3. Orchestration
  4. Monitoring
  5. Containerization