Looking for a job

Pradumna Tamkute

@pradumnatamkute

Message

I build scalable cloud data pipelines for healthcare analytics and modernization.

India

Message

What I'm looking for

I’m looking to build secure, scalable cloud data platforms and real-time or batch pipelines that improve data accessibility and analytics for global teams, particularly in healthcare.

At Deloitte USI, I modernized healthcare data ecosystems through scalable cloud pipelines, including a migration from IICS-Salesforce integration to a Python and SQL framework processing more than 10 million records daily.

I’ve built real-time and batch workflows with AWS, Snowflake, Kinesis, Lambda, Python, SQL, Matillion, and AutoSys. My work improved analytics reliability, reduced query times by 30%, cut pipeline processing time by 35%, and reduced legacy runtime from 48 hours to 4 hours.

I also automated access deactivation and infrastructure cost optimization, while mentoring junior developers in Python and ETL best practices. I’m focused on secure, accessible data platforms that help global teams make better decisions.

Experience

Work history, roles, and key accomplishments

Consultant

Deloitte USI

Jul 2025 - Mar 2026 (8 months)

Migrated legacy IICS-Salesforce integration to Python/SQL framework, processing 10M+ records daily and reducing manual effort by 40%. Improved AWS Lambda-based serverless pipelines and built real-time healthcare data pipelines using Snowflake, AWS Kinesis, and Lambda.

Python SQL AWS Lambda Snowflake AWS Kinesis IICS Salesforce ETL Data Pipelines Real Time Analytics

Analyst

Deloitte USI

Sep 2021 - Jul 2025 (3 years 10 months)

Engineered scalable ETL pipelines and automated user-deactivation services, reducing processing time by 35% and manual access-removal work by 90%. Implemented EC2 cost optimizer and integrated high-volume data processing with Python, shell, and AutoSys.