Sai kondamidi

Data Engineer

I am a data analytics professional with over four years of experience in designing and optimizing data pipelines, processing large datasets, and delivering actionable insights that support strategic decision-making. My background spans diverse industries including e-commerce, healthcare, financial services, and higher education fundraising—each of which has honed my ability to deliver high-impact analytics solutions tailored to unique business needs.

Currently, I work at Amazon as a Data Engineer, where I design scalable AWS Glue ETL pipelines, build high-volume Spark processing jobs, and automate workflows using Step Functions and CloudWatch. These efforts have significantly improved data accessibility and operational efficiency, particularly in support of annual giving and development strategies. Prior to this, I contributed to healthcare analytics at CVS Health, where I optimized Azure-based ETL workflows and developed interactive Power BI dashboards that enabled real-time decision-making across departments.

My technical skill set includes Python, SQL, Spark, AWS, Azure, Power BI, Tableau, and various database systems like Redshift, Oracle, and Cassandra. I am also certified in AWS Data Analytics and have practical experience in predictive modeling and A/B testing to support data-driven initiatives.

What drives me is the challenge of turning raw data into meaningful insights. I enjoy building scalable data solutions, automating complex workflows, and collaborating with cross-functional teams to solve real-world problems. I’m particularly passionate about using data for social impact, as demonstrated by my work supporting donor stewardship and fundraising operations in higher education.

With a Master’s degree in Data Science from the University of Maryland, Baltimore County, I bring a strong foundation in both technical and analytical skills, and I am eager to continue growing in roles that combine innovation, impact, and continuous learning.