A versatile software developer with expertise in collaborating with interdisciplinary teams to gather requirements, design solutions, and deliver robust software products. I specialize in developing and maintaining APIs using FastAPI and Tornado, and optimizing database schemas with Oracle and Cassandra. I build data processing pipelines using PySpark and Dask, and integrate external financial services and APIs to enhance application functionality.My experience includes employing continuous integration and deployment practices with CircleCI and Bitbucket, and deploying applications on Google Cloud Platform and AWS, utilizing services like EC2, DynamoDB, and Aurora. I also containerize applications using Kubernetes for consistent deployment across environments. I partner with site reliability engineering teams to ensure seamless application deployment and monitoring. I conduct thorough code reviews, provide constructive feedback, and offer prompt technical support, including root cause analysis and preventive measures. My knowledge of web security and authorization/authentication methods with Flask-Security, Django, and OAuth frameworks ensures secure applications. Additionally, I create and implement serverless apps with AWS Lambda and deploy apps using Flask and Django on Tomcat and cPanel platforms. I am adept at using tools like EC2, RDS, CloudWatch, and REST API Gateway for data migration to AWS.

As a Software Developer, I have successfully collaborated with cross-functional teams to gather requirements, devise solutions, and deliver robust healthcare software products. My expertise includes developing and maintaining RESTful APIs using Python frameworks such as Django and Flask. I have a strong background in designing efficient database schemas and optimizing queries with healthcare-specific databases like Epic and Cerner. In addition to database management, I have implemented data processing and analysis pipelines using Python libraries such as NumPy and SciPy, enhancing the accuracy and efficiency of healthcare data handling. My role also involved integrating external healthcare APIs and HL7 interfaces to improve application functionality and interoperability. I am well-versed in Agile methodologies, ensuring iterative development and adaptability to evolving healthcare workflows. I utilized Git for version control and actively participated in code reviews to uphold high-quality coding standards. For continuous integration and deployment, I implemented pipelines using Jenkins, and deployed applications on AWS, ensuring their scalability and reliability. Containerization with Kubernetes was employed to achieve consistent deployment across various environments. Additionally, I collaborated with IT teams to ensure secure and compliant application deployment and monitoring.

An experienced Python developer with a strong focus on designing, coding, testing, and maintaining applications using Django and Flask. I integrate data from SQL and NoSQL databases with SQLAlchemy and PyMongo, and develop data processing and machine learning scripts using Pandas, NumPy, and TensorFlow. My expertise includes utilizing version control systems like Git and project management tools such as JIRA. I specialize in profiling and optimizing Python code using tools like PyCharm and Blackfire, conducting code reviews, writing unit tests with unittest or pytest, and ensuring thorough documentation with Sphinx, MkDocs, or Jupyter Notebook. For debugging, I use tools like pdb or PyDev. My experience extends to deploying applications on cloud platforms including AWS, Azure, and Google Cloud, leveraging services like AWS Lambda, EC2, and Kubernetes. I implement monitoring and logging solutions with ELK stack, Prometheus, and Grafana. Additionally, I enhance supply chain efficiency through software management and analyze consumer behavior and marketing effectiveness using advanced analytics tools. I also implement and manage CRM systems with Python frameworks to improve customer service, sales, and marketing processes, driving strategic business decisions through actionable insights.

I am a proficient Python programmer with expertise in Django and Flask for web development. I have a strong background in automating build and test processes using Jenkins and GitLab CI to ensure code quality and reliability. My experience includes automating application deployments to various environments, enabling rapid and reliable releases. I excel in designing and developing RESTful APIs for scalable service communication. I am skilled in using Git for version control, including branching, merging, and maintaining repositories. My front-end development experience includes working with React, Angular, and Vue.js to create interactive user interfaces. I have a solid understanding of backend development, server-side architecture, data modeling, and business logic implementation. Practicing Agile methodologies like Scrum and Kanban, I effectively participate in iterative development, sprint planning, and retrospectives. I am adept at parsing JSON files, using Crashlytics for bug resolution, and managing asynchronous tasks with Celery. My expertise extends to high-performance web services with Tornado and FastAPI, as well as data processing with Dask and PySpark. I am familiar with RabbitMQ and Apache Kafka for real-time data streaming, containerization with Docker, and orchestration with Kubernetes. Additionally, I have experience with APM tools like New Relic and Dynatrace, distributed tracing with Zipkin or Jaeger, and API documentation using Swagger.

Specializing in microservices design and development, I have a great deal of experience with Python frameworks like Flask and FastAPI. As part of my expertise, I can develop Python data pipelines that handle ETL jobs and effectively manage services using Docker Swarm and Kubernetes. I am proficient at using Dask, Apache Airflow, and PySpark for complex data processing and orchestration. I excel in configuring and maintaining Python applications on leading cloud platforms like Google Cloud, Azure, and AWS. My skills cover cloud-native services including AWS Lambda and Google Cloud Functions, as well as data storage solutions like AWS S3 and Google Cloud Storage. I am adept at developing and managing both GraphQL and RESTful APIs. In addition to my backend skills, I am proficient in data science and machine learning with libraries such as TensorFlow, PyTorch, and sci-kit-learn, and I utilize Matplotlib and Plotly for data visualization. I have advanced skills in Git for version control, including branching and pull request management, and am experienced with platforms like Bitbucket, GitHub, and GitLab. I also use Infrastructure as Code (IaC) tools such as AWS CloudFormation and Terraform for automated infrastructure setup, and I establish CI/CD pipelines with GitLab CI, CircleCI, and Jenkins to streamline deployment and enhance scalability.