Nirneth Mareddy
Data Engineer @ Gen™ | Masters in Data Science & Analytics
- Role
- Data Engineer V at Gen
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Nirneth Mareddy
As Principal Data Engineer at Gen™, I lead the development and maintenance of…
Experience
Data Engineer V
Jan 2023 — Present · Seattle, WA, US
Description: As a Data Engineer V at Gen Digital, I contributed to building and maintaining robust advertiser data ingestion pipelines. I optimized data workflows using SQL, Python, Airflow, and DBT, ensuring performance and reliability. Collaborated cross-functionally to support clean, accurate, and scalable data for business insights. Played a key role in aligning data engineering efforts with digital marketing and business goals. Operated within a hybrid, fast-paced environment focused on financial literacy and digital safety at scale.* Led the design and development of data pipelines that collected and processed over 5 billion security events daily from 10+ data sources, achieving 99.9% data accuracy and reducing latency by 40%* Partnered with cybersecurity teams to understand evolving threat landscapes, delivering 4+ data-driven solutions that improved incident response time by 35% and increased threat detection coverage by 25%.* Implemented scalable data transformation and enrichment workflows that processed terabytes of raw telemetry, boosting downstream security analytics efficiency by 50%.* Integrated 3+ machine learning models into real-time data pipelines with sub-second inference latency, enabling predictive threat detection with 85%+ accuracy.* Designed and maintained a centralized threat intelligence data lake storing 3+ years of historical data, improving investigation turnaround time by 60%.* Built and automated 20+ data quality checks and monitoring dashboards, catching anomalies within 5 minutes of occurrence and maintaining >99% data integrity.* Created and maintained 100+ pages of technical documentation, reducing onboarding time for new engineers by 40% and supporting cross-team collaboration.* Evaluated and helped adopt 5+ modern data tools (e.g, Apache Spark, Snowflake, Airflow), improving overall data processing throughput by 3x.
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