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Rahul Singla

@rahulsingla

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I build scalable backend, workflow orchestration, and distributed data processing systems.

India

Message

I've built scalable backend systems, workflow orchestration platforms, and distributed data-processing solutions across enterprise cloud, fintech, healthcare, and education.

At Oracle, I redesigned scheduling architecture around a source-of-truth model to improve data consistency and reduce synchronization failures. I also contribute to backend service design for scalable workflow and scheduling systems and resolved federal POAM security compliance issues.

Previously at Arcesium, I led workflow orchestration implementations and deployed 52 production automation scripts. At Innovaccer, I improved healthcare data extraction efficiency by 14% using Python, Django, microservices, Celery, Redis, and Amazon SQS.

Experience

Work history, roles, and key accomplishments

Current

Senior Member of Technical Staff

Current

Oracle

Aug 2024 - Present (2 years 1 month)

Redesigned scheduling architecture to a source-of-truth model, improving data consistency and reducing synchronization failures. Contributed to high-level and low-level design discussions and resolved federal POAM security compliance issues.

Python Java SQL Django Flask REST APIs Microservices Distributed Systems MongoDB Redis System Design Workflow Automation Scalable Systems Event Driven Architecture

Senior Software Engineer

Arcesium (Deshaw)

Dec 2022 - Aug 2024 (1 year 8 months)

Led end-to-end implementation of workflow orchestration solutions for internal automation and reporting platforms. Built and deployed 52 production-grade automation scripts for cron jobs and workflow pipelines.

Python Java SQL Django Flask REST APIs Microservices Distributed Systems MongoDB Redis System Design Workflow Automation Scalable Systems Event Driven Architecture

Software Development Engineer-1

Innovaccer

May 2021 - Nov 2022 (1 year 6 months)

Designed scalable backend systems for healthcare data extraction and payer-to-payer workflows using Python and Django. Architected distributed processing pipelines using microservices, Celery, Redis, and Amazon SQS for asynchronous large-scale data operations.

Python Django Microservices Celery Redis Amazon SQS Distributed Systems REST APIs System Design Workflow Automation Scalable Systems Event Driven Architecture

Software Engineer

GeeksforGeeks

Jul 2020 - May 2021 (10 months)

Developed backend APIs and platform features using Python and Django for educational platform modules. Optimized backend workflows and database queries to improve application responsiveness and reduce processing overhead.

Python Django REST APIs SQL Backend Development Database Optimization