Sarthak Raut
@sarthakraut
AWS Data Engineer with 2+ years designing scalable data pipelines and data mesh on AWS.
What I'm looking for
I’m a results-driven AWS Data Engineer with 2+ years of experience designing scalable data pipelines and implementing data mesh architectures. I’ve architected and deployed AWS data mesh infrastructure (SDLF v2) across multiple business units, improving data governance and security compliance by 40%.
In my recent work at Capgemini, I migrated 20+ legacy ETL pipelines to modern data mesh architecture using AWS Glue, S3, and Lambda, while optimizing PySpark Glue ETL jobs to achieve 30% CPU utilization reduction and monthly cost savings. I also automated Infrastructure as Code (IaC) deployments with AWS CDK and CloudFormation, set up GitLab CI/CD for development-to-production consistency, and helped maintain 99.5% uptime by resolving pipeline failures and data quality issues using ServiceNow.
Experience
Work history, roles, and key accomplishments
Architected and deployed AWS data mesh infrastructure, improving data governance and security compliance by 40%. Migrated 20+ legacy ETL pipelines to modern architecture and optimized PySpark Glue jobs to reduce CPU utilization by 30% and monthly costs, while establishing CI/CD and resolving failures to maintain 99.5% uptime.
Developed and streamlined serverless ETL pipelines using AWS Lambda, Glue, and Athena, improving data processing speed by 40%. Migrated 20+ table prep flows to AWS SDLF with QA testing and robust error handling, and automated JSON-to-PySpark conversion to reduce migration time by 60%, supporting BI via Amazon Redshift.
Education
Degrees, certifications, and relevant coursework
St. Francis Institute of Technology
Bachelor of Engineering, Computer Science
2018 - 2022
Grade: 9.46 CGPA
Earned a Bachelor of Engineering in Computer Science at St. Francis Institute of Technology, Mumbai (2018–2022), graduating with a 9.46 CGPA.
Tech stack
Software and tools used professionally
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