Viveena Khatri

I’m an entry-level data engineer with hands-on experience building scalable ETL/ELT pipelines and cloud-based data processing solutions using Python, SQL, PySpark, Databricks, and orchestration tools like Apache Airflow. I focus on reliable ingestion workflows, real-time streaming applications, and strong data modeling for production-grade outcomes.

In my recent internship, I transformed raw device data into standardized JSON payloads and supported production-scale data migrations, including an end-to-end migration of 60+ MySQL tables with stored procedures, trigger-based automation, data validation frameworks, and schema mapping to ensure data integrity. I also worked on secure backend development as a freelance software developer, building RESTful APIs, integrating services with a decoupled admin frontend, implementing JWT-based authentication, and optimizing SQL queries.

Across projects, I’ve delivered end-to-end pipelines like a Databricks retail lakehouse using the Medallion Architecture (Bronze, Silver, Gold), a real-time news ETL pipeline with Apache Airflow, and a live e-commerce analytics platform combining Kafka, PySpark Structured Streaming, MySQL, and Grafana. I containerized pipelines with Docker and value workflow automation, distributed systems thinking, and reusable, production-minded engineering practices.