Data Delivery

Harnessing the power of data with automated data pipelines and curated datasets allows you to accelerate growth and reduce inefficiencies.

How we design, build, and automate data

Data Delivery
use cases

Real-time Data Streaming Framework Design

Ingrity enabled real-time decision-making through the implementation of an event-based data integration framework.

Data Platform Migration to Cloud (AWS)

Ingrity enabled an Australian bank to accelerate actionable insights by migrating their on-premises data sources to AWS cloud, resulting in cost savings, improved agility, and enhanced data processing.

Platform Migration (GCP)

Streamlined data migration to the cloud with automated data validation.

Designed and developed Azure, AWS and GCP data platforms to enable data transfers from multiple systems. 

Enabled real-time data ingestion by building a streaming pipeline to ingest and integrate siloed data.

Worked on many Big data tools and technology projects to migrate data from traditional data warehouses.

Implemented strategies to automate data movement, real-time testing and reconciliation between multiple systems.

Created Enterprise data models using different data modelling techniques, including Data Vault methodology.

Designed and developed API Gateway and API Layer to facilitate seamless data exchange between the data platform and source systems.