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Amit Saluja

@amitsaluja

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I build scalable AWS platforms, Python backend services, and data pipelines for enterprise workloads.

India

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What I'm looking for

I'm looking to build secure, scalable AWS platforms and Python services, owning architecture through deployment and operations while collaborating with product, data, DevOps, and engineering teams.

At KPIT, I lead architecture and implementation of scalable AWS platforms and Python backend services, turning business and technical requirements into secure, maintainable solutions.

I’ve built Flask APIs, AWS Data Lake and ETL/ELT solutions, and automated provisioning and operations with Python, Boto3, Terraform, and CloudFormation at Ameriprise Financial. My work supports reliable analytics workloads, repeatable deployments, and production operations.

Earlier at Tata Consultancy Services, I developed enterprise data warehouse solutions, SQL/PLSQL reporting components, and batch-workload monitoring automation. I bring end-to-end experience across backend engineering, cloud architecture, data platforms, CI/CD, observability, and AI/ML platform proofs of concept.

Experience

Work history, roles, and key accomplishments

Current

Senior Cloud Engineer – AWS Solutions

Current

KPIT

Sep 2024 - Present (2 years)

Lead architecture and implementation of scalable AWS platforms and backend services, translating business and technical requirements into secure, maintainable solutions. Design Python-based services and integration patterns for AWS workloads, including REST APIs, automation, event-driven processing, data access, and operational workflows.

AWS Python REST APIs Infrastructure as Code CI CD Cloud Architecture System Design Event Driven Architecture IAM Networking Observability Cost Optimization Proof of Concept Product Collaboration Data Engineering AI ML Platform

Cloud DevOps & Data Engineer

Ameriprise Financial

Mar 2018 - Sep 2024 (6 years 6 months)

Developed Python/Flask backend APIs to read and write data across PostgreSQL, MongoDB and on-premises SQL Server, integrating enterprise systems with AWS services. Built AWS Data Lake and ETL/ELT solutions using S3, Glue, Python and PySpark, supporting reusable ingestion, curation and downstream analytics workloads.

AWS Data Engineer / Software Engineer

Tata Consultancy Services

Sep 2015 - Mar 2018 (2 years 6 months)

Designed and developed enterprise data warehouse solutions with fact/dimension models, ETL interfaces and backend data-processing components. Developed SQL/PLSQL procedures and functions for reporting and compliance applications, with emphasis on reliability and maintainability.