Nirneth Mareddy

Background

About Nirneth Mareddy

Data Engineer | M.S. in Data Science At the intersection of data engineering and cybersecurity, I thrive on building resilient, scalable data architectures that power threat detection, digital safety, and data-driven decision-making. At Gen™ (formerly NortonLifeLock), I lead initiatives that integrate massive telemetry and behavioral datasets into intelligent pipelines — enabling near real-time insights and enhanced cyber defense capabilities. With hands-on experience in Spark, Scala, Python, SQL, Airflow, Azure, AWS, Databricks, Snowflake, and Kafka, I engineer robust ETL/ELT frameworks and orchestrate batch + streaming workflows that scale across petabyte-level data environments. I specialize in telemetry ingestion, marketing data modeling, ML pipeline integration, and automating observability with data quality and lineage tools — ensuring trusted, production-ready datasets. As a Master’s in Data Science candidate, I fuse academic depth with practical execution, continuously advancing my expertise in distributed systems, data ops, and applied ML. I’m driven by solving complex data problems, enabling cross-functional collaboration, and unlocking value from raw data. Let’s connect — I’m always exploring new technologies, meaningful projects, and opportunities to help shape the future of data engineering and digital safety.