Sr. Python Developer
CurrentAs a seasoned Sr. Python Developer, my experience encompasses developing views and templates using Python and Django, creating entire frontend and backend modules, and leveraging API services with AMQP and RabbitMQ for distributed architectures. I execute MySQL database queries with Python connectors, manage clusters in Google Cloud using Kubernetes, and deploy code using Jenkins.My proficiency in CI/CD processes involves using Git, Nexus, Jenkins, Maven, and Docker for deployment in Google Cloud clusters. I utilize automation and configuration management tools like Ansible, Puppet, Chef, and Salt Stack, and employ BDD frameworks like Cucumber for microservices development. I have implemented Kafka for real-time data processing, developed core Python APIs, and used Django and Flask for application development.In the cloud environment, I facilitate data transfer to Hadoop HDFS and Hive, use Google Cloud's extensive services, and employ Terraform for automating deployments. I have dockerized monolithic applications into microservices, developed Python scripts for ETL processes, and performed data modeling with Snowflake.Collaborating with various teams, I design solutions for financial applications, automate deployment and image cleanup, and visualize performance using Tableau. My hands-on experience with cloud services, coupled with my skills in Python, SQL, and data manipulation, allows me to build interactive web-based solutions and RESTful APIs. I have also migrated monolithic apps to microservices, developed React components, and compared machine learning models using scikit-learn and NumPy.Environment: Python, Django, PyCharm, PyTorch, Pandas, Flask, Python API, Tensor Flow, scikit-learn, NumPy, Micro services, ORM, Celery, Kafka, SQL Alchemy, JavaScript, HTML5, CSS3, Angular, Snowflake, Machine learning, data science, GCP.