Harsha Vardhan Goud Gundrathi

Data Scientist @AT&T

US

At AT & T, I designed and deployed end-to-end data pipelines using Databricks, Airflow, and Azure Data Factory to support large-scale network analytics. I developed ETL frameworks in Python and SQL to automate data ingestion and loading into Snowflake, reducing manual effort by nearly 60%. I also built optimized fact and dimension models for telecom usage dashboards, resulting in a 38% improvement in query performance. Additionally, I implemented real-time Kafka streaming for anomaly detection with sub-two-second latency, automated data validation and schema-drift monitoring using Great Expectations, and integrated CI/CD workflows through GitHub Actions and Terraform to ensure reliable, agile pipeline deployment.

Jawaharlal Nehru Technological University Hyderabad (JNTUH)

Integrated M.Sc. in Aviation, Aeronautics/Aviation/Aerospace Science and Technology, General

George Mason University

Master of Science - MS, Data Analytics Engineering

Wilmington University

Master of Science - MS, Information Systems Technology