Location: Phoenix, AZ (open to US roles) Remote: Yes Willing to relocate: Yes Technologies: Python, SQL (PostgreSQL), Apache Airflow, Kafka, Spark, AWS (S3), Azure, Docker, Kubernetes, React, Node.js, Neo4j, Supabase, Vector DBs (pgvector), REST APIs Resume/CV: https://drive.google.com/file/d/1rOI_TsGfxGi6WLB5tXA47AqHG5g... About me: I’m a Master’s student in Software Engineering at ASU (GPA: 4.0) with hands-on experience building scalable data pipelines and full-stack systems. Recently, I: - Built ETL pipelines using Airflow + PostgreSQL, reducing manual workflows by 40% - Worked with healthcare data (FHIR/eCW) for real-world data processing - Developed a real-time data pipeline with Kafka + Neo4j - Built an AI-powered CRO Finder platform using embeddings + vector search

I’m particularly interested in Software Engineering, Data Engineering, Backend, or Platform roles, where I can work on scalable systems, data pipelines, and impactful products.

Github: https://github.com/AmarDodda

Linkedin: https://www.linkedin.com/in/amar-dodda-128619216/ Email: amardodda23@gmail.com