a
anaya_rao

Vinaya

@anaya_rao

DevOps and Python Developer, CI CD, Docker, Web Apps

India
Inglés
Parte de la información aparece en idioma inglés.
Sobre mí
Software engineer with 4+ years at IBM building backend services, REST APIs and data pipelines in Python and Java, now doing SRE and DevOps on AWS with Terraform, Terragrunt, Docker and GitHub Actions CI/CD. I build full-stack apps with Django REST Framework, React, TypeScript and PostgreSQL, and streaming pipelines with Kafka, Airflow and dbt. AWS Certified Cloud Practitioner, 6 years of competitive programming in C++ and Python. Clean, tested, documented code and clear communication.... Lee más

Habilidades

a
anaya_rao
Vinaya
desconectado • 

Revisa mis servicios

API e integraciones
I will build a django rest framework API with tests and swagger docs
DeUSD 40 / proyectoMás información

Experiencia laboral

IBM

IBM

Tiempo completo • 4 yrs 4 mos

SRE and DevOps Engineer

Apr 2026 - Present • 7 mos

Part of the IBM delivery team deploying an AI security platform into an enterprise client's AWS environment. Co-developed a modular infrastructure-as-code setup: reusable Terraform modules in per-service repositories, composed by a Terragrunt deployment repository. Used it to provision and deploy Amazon RDS and Amazon ECS in the non-production environment. Building CI/CD pipelines for the Terragrunt repositories, including shared policy and security scanning checks. Working in a Linux and GitHub based workflow from architecture and high-level design documents, coordinating with architects and AWS contacts.

Application Developer

Jul 2022 - Apr 2026 • 3 yrs 9 mos

Key team member on data management solutions for a large North American telecom client, covering master data for device, IoT, and pricing data. Developed data engineering solutions in Python and Java and optimized data transformation pipelines for quality, consistency, and reliability. Troubleshot and resolved defects in data processing workflows, improving system stability. Used Grafana for monitoring and observability of workflows and servers. Automated log cleanup and daily disk usage reports with shell scripts and cron. Refactored legacy code toward structured coding practices.