Divyesh Chudasama

Defining target-state enterprise data architecture for a major strategic data platform programme, supporting regulatory reporting, analytics and research use cases. Designing data governance capabilities including business glossaries, metadata management, lineage, canonical data models and automated data quality controls.

Led data and solution architecture engagements for enterprise clients across financial services, retail, utilities and manufacturing sectors. Designed target-state data platforms leveraging Azure, AWS, Databricks, Snowflake and modern cloud-native architectures.

Designed a cloud-native data platform architecture combining open-source and public cloud technologies to support enterprise data transformation initiatives. Partnered directly with executive stakeholders to define business requirements and architecture strategy for a proof-of-concept data platform.

Led engineering initiatives supporting cloud-based insurance data platforms. Designed and implemented scalable ingestion and transformation pipelines supporting analytical and operational reporting workloads.

Developed enterprise data pipelines and integration solutions supporting analytics, search and insight platforms. Worked with cloud-native data technologies to improve data accessibility, quality and operational efficiency.

Delivered Azure-based data platform solutions across utilities, education and retail. Designed and implemented data lakes, analytical data stores and reporting solutions using modern cloud technologies.

Worked as an Associate Software Engineer at Paraxel.

Postgraduate Diploma in Advanced Software Engineering from the University of Leicester, completed from September 2013 to January 2015.

Master of Science in Internet Computing and Network Security from Loughborough University, completed from September 2011 to July 2012.

Bachelor of Science in Applied Computing and Mathematics from Loughborough University, completed from September 2008 to July 2011.