Hemanth Kumar Gunda

About Hemanth Kumar Gunda

I am a results-driven Data Engineer with 4+ years of experience and hands-on experience in designing, building, and optimizing scalable data ecosystems across AWS, Azure, and GCP. With a strong foundation in distributed systems, cloud architecture, and end-to-end data pipeline development, I specialize in creating reliable, high-performance solutions that transform raw data into actionable insights.Over the past several years, I have worked with modern data engineering tools and platforms, including Apache Spark, Kafka, Airflow, AWS Glue, Azure Data Factory, BigQuery, Redshift, and Snowflake. My work spans real-time streaming, batch processing, data modeling, and analytics enablement. I’ve built real-time pipelines supporting 50K+ messages per second, migrated legacy ETL jobs to cloud-native frameworks, and improved system performance and dashboard refresh rates significantly through SQL optimization and architectural enhancements.I enjoy partnering with cross-functional teams—product, analytics, governance, and platform—to deliver scalable solutions aligned with business strategies. I am passionate about automation, clean data practices, and building maintainable pipelines using CI/CD, Terraform, and reusable coding standards. I also focus on data quality and governance, ensuring trustworthy, well-documented, and lineage-tracked datasets for enterprise consumption.With a Master’s degree in Data Science and a strong technical toolkit in Python, SQL, and modern cloud platforms, I am committed to solving complex data challenges and enabling organizations to make faster, smarter, data-driven decisions.

Experience

1. Data Engineer

   Wawanesa Insurance

   Jun 2023 — Present · San Diego, CA, US

   At Wawanesa Group, I worked as a Data Engineer focused on building scalable, cloud-native data solutions that empowered enterprise analytics and real-time decision-making. I designed and optimized streaming pipelines using Apache Spark, Kafka, and AWS services to deliver sub-minute insights for critical use cases such as fraud detection. I also migrated legacy batch processes to AWS Glue and Lambda, improving performance and lowering operational overhead. My role involved developing robust data lakes on S3 with Delta Lake, enhancing accessibility for analytics teams across the organization. Additionally, I collaborated closely with product, governance, and analytics teams to implement dimensional data models, automate monitoring, and establish end-to-end lineage using Apache Atlas—significantly improving data reliability and transparency.

Education

• GITAM Deemed University

  Bachelor's degree, electronics and communication engineering

• University of Houston

  Master's degree, Data Science