Summary
Harshith Reddy is a data analyst with eight years of experience building and deploying data solutions across Hadoop, cloud, and automation platforms. He combines deep expertise in big data technologies (Spark, HDFS, Hive, Kafka) with hands-on ETL architecture and AWS/Azure data migration experience to drive scalable, production-grade pipelines. At firms like Capital One and State Street he has turned complex business logic into clear, testable rules, improved model accuracy through feature engineering, and implemented data quality and anomaly detection practices. He is proficient in SQL, Snowflake, Python, and visualization tools (Power BI, Tableau), consistently reducing reporting time and accelerating decision-making. Known for improving team agility and operational efficiency, he has delivered measurable gains such as reduced retrieval times, higher model performance, and lower deployment errors. Based in Virginia with a master's in Data Modeling/Warehousing, he pairs practical engineering chops with a knack for translating technical insights into business impact.
8 years of coding experience
4 years of employment as a software developer
Master's degree Data Modeling/Warehousing and Database Administration, Master's degree Data Modeling/Warehousing and Database Administration at George Mason University – Costello College of Business