mahitha gunreddy

I am a results-driven Computer Science graduate specializing in cloud-based data pipelines and scalable data solutions. I design and implement ETL workflows using AWS, Spark, and modern data tooling to turn raw information into business-ready insights.

During my master's program and projects, I built end-to-end pipelines on AWS and Snowflake, optimizing query performance and data models. Notably, I reduced Snowflake query time by 60% and improved retail forecasting accuracy by 70% through automated processing and tuning.

At Capgemini India I completed intensive Big Data training and delivered a sports analytics ETL system that cut processing time by 40%, using Talend, S3, Hive, and PostgreSQL. I combine strong programming skills in Python and SQL with distributed processing experience in Spark and Hadoop.

I am passionate about building reliable, automated data platforms that scale, leveraging dbt, Airflow, EMR, and visualization tools like Tableau and Power BI to communicate insights effectively to stakeholders.