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
- Acquire data from multiple systems and make pre-packaged data available for analysis, analytics, dashboarding, and reporting.
- Migrate data from a legacy environment to modern technology.
Data Delivery
use cases
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.
