Suhas Byrapuneni — Data Engineer

As a seasoned Data Engineer in SQL and Python, I excel in designing, implementing, and automating robust data pipelines, using cutting-edge cloud technologies to drive transformative insights. My expertise extends to developing intuitive visualization solutions that empower modern AI and analytical solutions. I specialize in Streamlining ML model experimentation and deployment through the seamless integration of CI/CD pipelines, employing top-notch MLOps strategies for maximum efficiency and scalability. A standout achievement includes initiating the migration of on-premises data infrastructure to the Azure cloud, alongside architecting real-time data pipelines. From raw data extraction to analytics-ready datasets, I ensure a streamlined and scalable process at every stage. My proficiency shines in GenAI models, as evidenced by the creation of an AI-driven equity research tool, revolutionizing insights extraction from an extensive collection of news article URLs. Each project undertaken serves as a testament to my ability to extract, transform, store, and visualize data with precision and innovation using cloud technologies like Snowflake, Azure, and AWS. In summary, my versatile expertise positions me as an exemplary Data Engineer, ready to lead the way in delivering impactful solutions and driving success in any data-driven initiative.

Stackforce AI infers this person is a Data Engineer specializing in Cloud Technologies and Analytics within the Healthcare sector.

Location: San Francisco, California, United States

Experience: 3 yrs