Specializing in tailored analytics pipelines, I excel in serverless frameworks, utilizing GCP services like Cloud Run, Cloud Build, Workflows, Pub/Sub, and Compute Engine to meet client needs.

Over years of hands-on experience, I’ve developed a deep understanding of its advanced features. This allows me to expertly analyze data and optimize queries for maximum efficiency.

Utilizing as my primary language for professional development, I excel in crafting scalable, testable, and maintainable programs. I have extensive experience with ETL/ELT processes.

Using as main framework to develop high-quality analytics pipelines that are modular, thoroughly tested, and well-documented. This enabling me to construct insightful and accurate data models.

Crafting slick, user-friendly dashboards, I bring analytics insights to life for clients with custom designs and intuitive layouts. This makes insights actionable in no time.

Using to deploy cloud infrastructure efficiently. This has been a game-changer for managing cloud environments allowing me to automate resources needed for projects.

Using as primary tool for implementing CI/CD workflows. Actively utilizing its capabilities to ensure rapid iteration and maintain high standards of code quality throughout the development lifecycle.

Most of my programs are Dockerized Python web applications, deployable to Cloud Run. This serverless approach simplifies scalability and proves cost-effective by allocating resources based on usage.

Leveraging for real-time data ingestion needs. It ensures efficient communication between different parts of my applications, enabling swift processing and analysis of incoming data for timely decision-making.