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I am Rama Krishna, a Senior Python Developer with 9+ years of experience spanning Python, cloud platforms (AWS, Azure, GCP), RESTful APIs, data engineering, and large-scale systems. I enjoy building robust ETL pipelines, microservices, and data-driven applications, with hands-on experience in Kubernetes, Terraform, Docker, and automation tooling. I have contributed across teams to deliver scalable software, implemented CI/CD pipelines, and led DevOps practices in production environments. I’m comfortable working across Linux/Windows, SQL databases, and diverse tech stacks to solve complex business problems. I have helped organizations modernize software stacks, deliver scalable services, and optimize data processing workflows. My experience spans cross-functional collaboration, architecture decisions, and delivering maintainable code with a strong emphasis on testing, monitoring, and security.…I am Rama Krishna, a Senior Python Developer with 9+ years of experience spanning Python, cloud platforms (AWS, Azure, GCP), RESTful APIs, data engineering, and large-scale systems. I enjoy building robust ETL pipelines, microservices, and data-driven applications, with hands-on experience in Kubernetes, Terraform, Docker, and automation tooling. I have contributed across teams to deliver scalable software, implemented CI/CD pipelines, and led DevOps practices in production environments. I’m comfortable working across Linux/Windows, SQL databases, and diverse tech stacks to solve complex business problems. I have helped organizations modernize software stacks, deliver scalable services, and optimize data processing workflows. My experience spans cross-functional collaboration, architecture decisions, and delivering maintainable code with a strong emphasis on testing, monitoring, and security.

Rama Krishna

Full Stack Developer, Web Developer, Back-End Developer, +2

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I am Rama Krishna, a Senior Python Developer with 9+ years of experience spanning Python, cloud platforms (AWS, Azure, GCP), RESTful APIs, data engineering, and large-scale systems. I enjoy building robust ETL pipelines, microservices, and data-driven applications, with hands-on experience in Kubernetes, Terraform, Docker, and automation tooling. I have contributed across teams to deliver scalable software, implemented CI/CD pipelines, and led DevOps practices in production environments. I’m comfortable working across Linux/Windows, SQL databases, and diverse tech stacks to solve complex business problems. I have helped organizations modernize software stacks, deliver scalable services, and optimize data processing workflows. My experience spans cross-functional collaboration, architecture decisions, and delivering maintainable code with a strong emphasis on testing, monitoring, and security.…I am Rama Krishna, a Senior Python Developer with 9+ years of experience spanning Python, cloud platforms (AWS, Azure, GCP), RESTful APIs, data engineering, and large-scale systems. I enjoy building robust ETL pipelines, microservices, and data-driven applications, with hands-on experience in Kubernetes, Terraform, Docker, and automation tooling. I have contributed across teams to deliver scalable software, implemented CI/CD pipelines, and led DevOps practices in production environments. I’m comfortable working across Linux/Windows, SQL databases, and diverse tech stacks to solve complex business problems. I have helped organizations modernize software stacks, deliver scalable services, and optimize data processing workflows. My experience spans cross-functional collaboration, architecture decisions, and delivering maintainable code with a strong emphasis on testing, monitoring, and security.

Available to hire

I am Rama Krishna, a Senior Python Developer with 9+ years of experience spanning Python, cloud platforms (AWS, Azure, GCP), RESTful APIs, data engineering, and large-scale systems. I enjoy building robust ETL pipelines, microservices, and data-driven applications, with hands-on experience in Kubernetes, Terraform, Docker, and automation tooling. I have contributed across teams to deliver scalable software, implemented CI/CD pipelines, and led DevOps practices in production environments. I’m comfortable working across Linux/Windows, SQL databases, and diverse tech stacks to solve complex business problems.

I have helped organizations modernize software stacks, deliver scalable services, and optimize data processing workflows. My experience spans cross-functional collaboration, architecture decisions, and delivering maintainable code with a strong emphasis on testing, monitoring, and security.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Bashkir

Advanced

Javanese

Intermediate

Work Experience

Senior Python Developer at VISA

February 1, 2025 - Present

Designed and developed Python ETL transformations and RESTful APIs (Swagger) for internal and third-party data exchange. Built backend services using Python 3.x (Flask) and Django, and modern frontend components with React/Redux. Implemented data marts and database interactions (Oracle 12c, PostgreSQL) and automated data processing pipelines. Developed serverless and containerized workloads on AWS (Lambda, S3, DynamoDB) and Kubernetes (pods, Helm charts) for scalable processing. Created CI/CD pipelines (Jenkins, Bamboo) and monitoring with CloudWatch. Contributed to data quality and governance, profiling, and validation frameworks. Authored API documentation and PoCs for endpoints. Experienced with Terraform for IaC and Linux/Windows automation. Also built image processing pipelines using Tesseract OCR and CNN models (TensorFlow/Keras) for document/text extraction.

Python Developer at Centene Corporation

May 1, 2023 - January 31, 2025

Developed Python scripts to monitor Kubernetes clusters (idle node detection) and auto-scale resources; built end-to-end ETL/workflow pipelines. Implemented data extraction pipelines using TensorFlow, Tesseract, and image/text processing, integrated with Oracle 12c and PostgreSQL via SQLAlchemy. Containerized services with Docker and deployed microservices on Kubernetes; built RESTful APIs (Django/Flask) and API endpoints with Swagger. Created CI/CD workflows via GitHub and AWS deployments (Beanstalk, Lambda, S3, DynamoDB). Implemented data processing and analytics components using NumPy and Pandas. Worked with HR/internal systems via API integrations, and contributed to analytics dashboards and data marts. Also performed unit testing with PyTest and TDD practices.

Python Developer at CBRE

July 1, 2021 - April 30, 2023

Developed and maintained automated tests using PyTest and Robot Framework for Python-based services. Built and maintained Django-based REST APIs and front-end components (React, AngularJS). Led data transformation and API integration tasks across MySQL and Oracle. Implemented CI/CD pipelines and containerized deployments with Docker; worked with Kafka, Spark, and Hadoop for real-time data processing. Implemented monitoring and alerting using Splunk; contributed to API documentation and test plans for enterprise applications.

Python Developer at Home Depot

January 1, 2020 - June 30, 2021

Supported web application security testing (penetration testing) and automated test development using PyTest and Robot Framework. Wrote Python scripts to automate AWS web API deployments and data comparisons with historical pumping data for client deliverables. Built data analysis graphs using NumPy and Pandas; generated graphical reports, and automated Blender and SPSS workflows. Developed Python APIs to extract and transform HTML data, interfacing with PostgreSQL and DynamoDB. Created Cron-based automation for data processing and monitoring, and contributed to data storage and access control improvements.

Python Developer at Evolve

September 1, 2017 - November 30, 2019

Designed a custom chatbot architecture using Python with NLP capabilities (NLTK, spaCy, Rasa). Implemented intent recognition, entity extraction, and dialogue management; integrated with HR databases, IT ticketing systems, and knowledge bases via API adapters. Deployed on web and messaging platforms using Flask/Django; connected to Facebook for survey delivery. Enabled continuous learning from user interactions with feedback loops and model retraining. Collaborated with cross-functional teams and used Azure DevOps for version control and deployment.