j
jyotijen

Prakash

@jyotijen

Python Backend Developer Ex Amazon

India
Engels, Hindi
Sommige informatie wordt in het Engels weergegeven.
Over mij
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!... Lees meer

Skills

j
jyotijen
Prakash
offline • 
Gemiddelde reactietijd: 9 uur

Bekijk mijn diensten

API en integraties
I will develop python backend using flask
VanafUS$ 70 / projectMeer informatie

Werkervaring

TCS

IT Analyst

TCS • Fulltime

Mar 2023 - Present • 3 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 • Fulltime

Mar 2021 - Dec 2022 • 1 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 • Fulltime

Sep 2018 - Mar 2021 • 2 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.