Naveen Reddy Pinreddy
Data Engineer @ Claudera || Building Scalable Cloud Data Pipelines || Data Modeling & Analytics
- Role
- Data Engineer at Cloudera
- Location
- Irvine, CA, US
- LinkedIn followers
- 500 followers
About Naveen Reddy Pinreddy
Data Engineer with 3 years of experience designing, building, and optimizing scalable data solutions across cloud and distributed environments. I specialize in developing robust end-to-end data pipelines that transform raw, complex datasets into reliable, analytics-ready data assets that support business intelligence and data-driven decision-making.My core expertise includes Python, SQL, ETL/ELT pipeline development, data modeling, and data warehousing. I have hands-on experience working with AWS cloud services, Apache Spark for distributed data processing, and workflow orchestration tools such as Apache Airflow to manage and monitor production-grade pipelines.I have contributed to improving data reliability, optimizing query performance, and implementing scalable architectures that support high-volume data processing. I am passionate about building efficient data systems, ensuring data quality, and enabling cross-functional teams with accurate and timely insights.I am currently seeking Data Engineer opportunities where I can leverage my experience in big data technologies and cloud platforms to deliver scalable, high-performance data solutions while continuing to grow in advanced data architecture and engineering best practices.
Experience
Data Engineer
Sep 2024 — Present · Irvine, CA, US
Managed end-to-end data pipelines using Python and SQL to process portfolio data exceeding 12 million daily records. Refactored batch jobs to reduce runtime from 4 hours to under 3, resulting in approximately in annual compute cost savings. Designed ETL workflows utilizing Azure Data Factory and Synapse to supply a curated data warehouse layer for the BI team. Improved data freshness for three critical dashboards, moving from next-day to same-day availability. Implemented CI/CD pipelines featuring automated data validation gates to detect schema drift prior to deployment. Achieved a noticeable reduction in production incidents following the rollout of these pipelines.
Education
Webster University
Master's Degree, Master’s student in Computer/Information Technology Administration and Management
Nalla Narasimha Reddy Education Society's Group of Institutions
Bachelor of Technology, Electrical, Electronics and Communications Engineering
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