Pandurang Channadasar

Leading enterprise data modernization initiatives focused on building scalable, secure, and cloud-native data platforms. Defining architecture standards and driving migration of critical workloads from IBM DB2 to Snowflake and Informatica to AWS Glue.

Led development of an enterprise-scale framework for migrating approximately 15 PB of structured, semi-structured, and unstructured data from on-premises environments to Snowflake and Databricks. Designed and implemented a multi-tenant data migration framework using Python, Shell scripting, Terraform, Snowflake, and Databricks.

Designed and delivered a scalable event-driven AWS data platform for automated ingestion, validation, transformation, and storage of partner transaction data. Implemented cloud-native data architecture using Amazon S3, Lambda, EventBridge, AWS Glue, Athena, and Redshift.

Worked on cloud-based data integration and deployment capabilities for the OSDU platform using Microsoft Azure. Designed and developed Python-based data ingestion and enrichment utilities, and implemented solutions using Azure Functions, Azure Blob Storage, Cosmos DB, and Azure DevOps.

Supported data engineering, analytics, automation, and database modernization initiatives for Amazon Payments. Designed Python-based frameworks for data analysis, validation, reconciliation, and transaction research, and automated business-rule validation using AWS Lambda.

Worked on enterprise logistics and transportation applications involving operational data processing, ETL, database development, and automation. Developed Python utilities for transaction correction, backfilling, and data consistency, and designed Oracle stored procedures and PL/SQL packages.

Bachelor of Technology in Computer Science from Visvesvaraya Technological University.