Kiranraj Amuthan

I’m a Database Engineer focused on building and maintaining large-scale data lakes and pipelines that are reliable, secure, and aligned to real business needs. In my current role, I’ve maintained large-scale data lakes using Oracle SQL and created new scripting for ETL using Python with data engineering.

I run integration testing per business needs, following SDLC, for MS SQL/Databricks pipelines. I use Databricks for cloud computing to facilitate fast and secure data transfer for healthcare providers, and I’ve implemented ETL validation using AI agent assistance with fine-tuning for specific usage.

At Intel, I worked on production-ready testing and analysis, collaborating across teams to fully test semiconductor wafers. I completed reports, analysis, and data visualization from collected testing data using Excel, JMP, Python, and C, and I assisted in creating new testing apps for company-wide use.

I’ve also helped drive quality improvements—identifying and reporting first-level issues with wafers and improving yield on problem wafers from ~70% to 95% successful. Previously, I built AI-assisted monitoring concepts as a Data Specialist Intern and supported end-to-end deployment and testing as a User Acceptance Tester Intern, using tools like Selenium.