Puneeth K

I am a results-driven data engineer with approximately four years of experience specializing in data pipeline development, large-scale migrations, and cloud-based solutions. My expertise lies in transforming complex datasets and optimizing data workflows, utilizing technologies such as Python, SQL, PySpark, and Azure. I thrive in collaborative environments, working closely with cross-functional teams to deliver high-quality data solutions.

At 314e Corporation, I played a pivotal role in leading a large-scale data migration project, successfully managing the transfer of around six million patient records from legacy systems to Epic. I designed and implemented robust data mapping frameworks to ensure data integrity and standardization. My technical skills extend to building distributed ETL pipelines and utilizing Azure Data Factory, Azure Databricks, and Data Lake Gen2 for efficient data orchestration and processing.

In addition to my core responsibilities, I am an AI enthusiast actively exploring the potential of large language models (LLMs) and their applications in enhancing productivity. I am committed to continuous learning and am currently pursuing knowledge in intelligent application development that integrates LLMs and real-time data retrieval.