Projects
PwC Enterprise Analytics Platform
Contributed to the redesign of PwC's Enterprise Analytics Platform and to governed data foundations for analytics, data science and Machine Learning.
- Category
- Professional work
- Role
- Cloud Solution Architect — Enterprise Data & Analytics
- Stage
- Platform redesign
- Azure Databricks
- Azure Data Factory
- Kubernetes
- Docker
- Ping Identity
- GCP
- Data
- Consulting
Context
PwC (PricewaterhouseCoopers), from November 2018 to March 2020.
Contribution
- Defined the target architecture for enterprise analytics, data warehousing and Master Data Management.
- Designed a governed Data Lake covering ingestion, integration, consumption, security and GDPR compliance.
- Delivered a proof of concept for a cloud data pipeline using Azure Data Factory and Databricks.
- Defined data-access and identity patterns for sensitive enterprise data across cloud and on-premises environments.
- Contributed to the One ID programme, consolidating multi-cloud and on-premises Identity and Access Management.
- Produced High-Level Designs for migration and modernisation of enterprise solutions on Microsoft Azure.
- Established architectural foundations for multidimensional analytics, Data Science and Machine Learning workloads.
The delivered item named in the resume is the data-pipeline proof of concept. The platform work is described as a contribution to the redesign.