Data Engineering Studio provides best in class templates, tools, processes, expertise and data domain knowledge to enable cloud migration
Data Engineering Studio provides an agile and repeatable delivery methodology fuelled through automation driven by Nabu™.
Data Engineering Studio bridges the gap between analytical, business, and data processing teams.
The Services provided by our Data Engineering Studio are:
Skilled and integrated PODs of engineering expertise: Skilled engineers are self-organized with extensive experience in data software tools such as Microsoft Azure
Date engineering: Design, Development and Testing of automated data ingestion and curation pipelines from on-prem data sources to the cloud
Cloud Infrastructure: Big data cloud software configuration, cloud configuration and tools to install, configure and manage cloud provider products such as Microsoft Azure Data Lake, Microsoft Synapse, etc
API Development: Development of APIs as per industry/domain standards such as FHIR
Managed Services: Highly experienced and certified team with 8+ years of support and management of Big Data Microsoft Azure data platforms
Site Reliability Engineering: technical expertise with support and development experience to monitor and manage resources on cloud providers such as Microsoft Azure
Agile based delivery: Skilled scrum masters and project managers in Agile based delivery
Life science domain and data knowledge
• Extensive domain and technical experience converting 1000+ legacy format clinical trials into SDTM format. Deep understanding of different SDTM domains.
• Ingestion and processing of human genome data sets and knowledge of GWAS. • Years of experience working with complex Life Science data formats, types, transformations, and building large-scale, complex R&D-focused data assets for consumption.