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Udit Gautam

@uditgautam

Senior Data Engineer at Nagarro building AWS and Databricks pipelines that turn enterprise data into analytics-ready datasets.

India

Message

At Nagarro, I design and develop cloud-native data pipelines with AWS Glue, S3, Lambda, Python, and PySpark. I integrate data across S3, RDS, Redshift, Databricks, and Snowflake to deliver curated datasets for BI dashboards and enterprise analytics.

Previously, I developed ETL pipelines at SunLife Global Solutions and built Informatica PowerCenter workflows at Cognizant Technology Solutions. I also use Prompt Engineering and AI-assisted tools to support SQL optimization and troubleshooting, and mentor junior engineers at Nagarro.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Nagarro

Jan 2025 - Present (1 year 9 months)

Designed and developed scalable cloud-native data pipelines using AWS Glue, S3, Lambda, IDMC/IICS, Python, and PySpark. Mentored junior engineers and promoted best practices in data engineering.

AWS Glue S3 Lambda IDMC IICS Python PySpark Prompt Engineering ETL ELT Data Pipelines Mentorship

Data Engineer

SunLife Global Solutions

Aug 2023 - Jan 2025 (1 year 5 months)

Developed and maintained ETL pipelines using Informatica IICS/IDMC, AWS services, and SQL. Implemented AWS Glue transformations and automated workflows for enterprise reporting and Tableau dashboards.

Informatica IDM AWS SQL AWS Glue Tableau ETL Data Pipelines Prompt Engineering

Informatica Developer

Cognizant Technology Solutions

Nov 2019 - Jul 2023 (3 years 8 months)

Built and optimized ETL workflows using Informatica PowerCenter and SQL. Provided production support, performance tuning, and troubleshooting for large-scale ETL jobs.

Informatica PowerCenter SQL Oracle Sybase SQL Server ETL Performance Optimization Production Support