j
jyotijen

Prakash

@jyotijen

Python Backend Developer Ex Amazon

India
Inglés, Hindi
Parte de la información aparece en idioma inglés.
Sobre mí
Hi, I’m Jyoti Prakash Jena — Senior Python Developer with 8 years of experience. I previously worked at Amazon as Application Engineer III. I am very strong in: • Backend Python Development • Microservices Architecture (Flask & FastAPI) • End-to-End Automation • Issue Debugging & Troubleshooting • DevOps (CI/CD, Docker, AWS) • GenAI RAG Solutions I have deep experience building scalable backend systems, automating complex workflows, debugging production issues, and designing clean microservices. Looking forward to working with you on your Python backend, automation, or GenAI projects!... Lee más

Habilidades

j
jyotijen
Prakash
desconectado • 
Tiempo medio de respuesta: 9 horas

Revisa mis servicios

API e integraciones
I will develop python backend using flask

Experiencia laboral

TCS

IT Analyst

TCS • Tiempo completo

Mar 2023 - Present3 yrs 6 mos

Developed Flask-based microservices on AWS infrastructure (ECS, EC2, S3) with CI/CD via CodePipeline and Docker. Designed scalable backend architecture and data validation pipelines for a GenAI-based customer support chatbot. Built serverless APIs using AWS Lambda, CDK, and Python Flask with DynamoDB integration for an LLM-based recommendation engine. Handled production issue debugging and security-related migrations.

Amazon

Application Engineer III

Amazon • Tiempo completo

Mar 2021 - Dec 20221 yr 9 mos

Spearheaded backend development using Python, focusing on DevOps technologies and CI/CD pipelines along with L3 production support. Engineered Object-Oriented Python solutions for report generation, monitoring tool automations, and disaster recovery automations. Conducted comprehensive stress tests and executed migration tasks while facilitating the onboarding of internal teams to the Lightbringer tool.

Accenture

Advanced Application Engineer

Accenture • Tiempo completo

Sep 2018 - Mar 20212 yrs 6 mos

Orchestrated end-to-end use-case automation tailored to specific clients. Developed plugins to seamlessly integrate Remedy and ServiceNow with internal tools along with providing L3 production support. Engaged in direct client interactions to translate requirements into actionable items and monitored automation processes using dashboards and bash scripts.