Shantanu Sharma

Led the data engineering and platform availability team to build self service data platform for analytical workload. Plan out retirement of legacy traditional database infrastructure with cloud migration. Designed data governance and management framework and it's components for compliance, data quality and lineage & metadata management. Designed data strategy with keeping right balance between defensive and offensive data strategy. Designed web analytics & critical service availability data platform to monitor performance (latency) of mission critical business applications, reports, APIs, web interfaces and infrastructure components. Designed road map for POC to analyse the impact of decentralizing data platform (data lake anti-pattern) through data mesh and evaluate the the impact, business responsibilities and efforts.

Designed strategy and roadmap to migrate SAS workloads to distributed data platform to minimize analytics data staleness from 96 hours to 4 hours. Designed distributed rule engine for preventive medicine patient alert system.

Reverse engineered existing traditional data platform and designed migration strategy to move data pipelines to Hadoop distributed platform and build massive enterprise data reservoir to support fraud analytics and AML use cases. Build data quality framework to validate the data pipelines and seize anomalies before they disrupt ML model or reporting dashboard. Co-authored organization wide logical data model.

Developed data pipelines to build different storage layer for enterprise data warehouse and analytics data mart. Designed data models for data warehouses and data marts. Developed data pipelines and data models for Big Data & Hadoop PoC.