Prafull Dangore

About Prafull Dangore

Strategic and execution-focused Data Leader with 18 years of experience architecting and delivering modern data solutions across the Banking, Insurance, and Asset Management value chains. Demonstrated ability to embed Data Governance, Data Management, Analytics, Engineering, Modeling, Visualization, and AI/ML including Feature Engineering and RAG-based GenAI into enterprise strategies- Proven track record of aligning business vision with future-ready data architectures- Specialized in architecting secure, scalable cloud-native data platforms- Delivered feature stores, AI/MI pipelines, and real-time analytics at scale- Driving enterprise transformation through Data Lake, Lakehouse, and Data Mesh frameworksTOOLS & TECHNOLOGIES- Cloud Platforms: Azure, Databricks- Snowflake AI Data Cloud: Snowflake, Snowpark, Openflow, Cortex AI, Snowpipe / Streaming, Horizon Catalog- Big Data & Streaming: Kafka, Hive, Sqoop- Data Integration & ETL: Informatica (PowerCenter, IICS), Azure Data Factory - Open Table Formats- Apache Iceberg, Delta Lake- Data Transformation: dbt Databases: Oracle, PostgreSQL- Data Warehousing: Snowflake, Oracle Exadata, Teradata, Sybase IQ- Data Governance & Quality: Azure Purview, Informatica (EDC, IDQ)- GenAI & AI/ML: SentenceTransformers, Vector Search, RAG Pipelines

Experience

1. Director

   PwC India

   Apr 2026 — Present · Mumbai, IN

Education

• B.E (Computer Science & Engineering), Collage of Engineer, Badnera

  B.E (Computer Science & Engineering), Collage of Engineer, Badnera

Skills

• Data Migration
• Business Objects
• Pl/Sql
• Big Data Analytics
• Teradata
• Data Warehousing
• Bo Dashboard
• Hadoop
• Oracle
• Requirements Analysis
• Analytics
• Requirements Gathering
• Hive
• Pre-Sales
• Sybase Iq
• Oracle Warehouse Builder
• Enterprise Data Modeling
• Informatica
• Cognos
• Information Management
• Extract, Transform, Load (Etl)
• Unix
• Data Modeling
• Data Visualization
• Business Intelligence
• Sybase Ase