Anagha N Kigga

I’m an aspiring data engineer and final-year Electronics and Telecommunication engineering student with hands-on experience building production-style data workflows. I focus on reliable pipelines, layered modeling, and data quality checks—so analytics-ready data is dependable.

I’ve built Airflow-orchestrated ETL pipelines using Python, with scheduling, retries, and idempotent database writes. In a lakehouse project, I designed a Bronze/Silver/Gold medallion architecture using dbt-core layered modeling aligned to real data warehouse patterns.

I’m comfortable with the full data stack—Python and SQL for transformation, PostgreSQL for storage, and Docker for reproducible execution. I also developed real-time monitoring dashboards to track pipeline health and data freshness.

Beyond classic ETL, I’ve had exposure to integrating LLM outputs into data-driven applications, and I’ve worked on an LLM-powered clinical explanation flow based on model predictions. Through internships at Schneider Electric and BEL, I’ve also strengthened my testing and validation mindset—bringing rigor to the way I build and validate data systems.