Develop Web APIs: Design and implement web APIs using frameworks like Flask, FastAPI, Django, and other popular tools. Ensure high performance and reliability for seamless communication over HTTP.
Work with Library APIs: Expose Python functions and classes through library APIs to support various system components.
Operating System APIs: Integrate with OS features using modules such as os and sys to facilitate system-level operations.
Database APIs: Enable interaction with databases using libraries like SQLAlchemy, ensuring efficient data management.
Design RESTful and GraphQL APIs: Work with these popular styles of APIs to build robust web services.
System Design: Participate in the architecture and design of Python-based systems, including scripts, libraries, APIs, and other software modules.
Google Cloud Platform Dataflow Expertise: Leverage Google Cloud Platform's Dataflow service to design and execute data processing pipelines, integrating with Google Cloud Platform services like BigQuery, Cloud Storage, and Pub/Sub for a complete data processing ecosystem.
Google Cloud Platform Cloud Infrastructure: Utilize Google Cloud's infrastructure, including Google Compute Engine, Google Kubernetes Engine, and Google App Engine, to build scalable cloud applications.
Jenkins Integration: Automate workflows with Jenkins by triggering jobs, checking statuses, and integrating Python scripts into Jenkins pipelines for continuous integration and deployment (CI/CD).
DevOps Tools: Work with Groovy, Kubernetes, Docker, Git/GitHub, Shell scripts, and Unix/Linux environments to ensure efficient DevOps processes.