Sunil Pothu Raju
Python | Java | AWS | Kubernetes | Kafka | Azure | GCP | ETL & Data Pipelines | Data Integration|ML Model Design| AI | RAG | Scalable Data Architectures | Delivering Business Impact with Innovative Data Solutions
- Role
- Data Engineer at Nationwide
- Location
- Phoenix, AZ, US
- LinkedIn followers
- 500 followers
About Sunil Pothu Raju
I’m an engineer with experience building reliable backend systems and cloud-native…
Experience
Data Engineer
Oct 2023 — Present · US
Engineered automated ETL pipelines using Apache Airflow and Databricks, cutting data processing time by 45% and enhancing accessibility for critical decision-making in insurance and investment portfolios. • Integrated real-time data streams with AWS Kinesis and Glue, ensuring seamless ingestion and transformation of large-scale financial and insurance data, improving data availability for risk assessments by 35%. • Optimized data warehousing solutions in Snowflake and Amazon Redshift, improving query performance by 30% and accelerating financial reporting for investment management. • Collaborated with data science teams to deploy machine learning models using PyTorch and Tensor Flow, enhancing fraud detection for insurance claims by 20% and decreasing overall claim processing time by 15%. • Migrated legacy on-premises databases to AWS S3 and Postgre SQL, decreasing data retrieval times by 25% and boosting storage scalability by 50% to accommodate future growth in banking and investment services. • Developed interactive dashboards in Tableau, providing senior management with insights on investment trends, leading to a 15% increase in timely data-driven decisions. • Implemented comprehensive data governance and data quality checks using Talend and Apache Kafka, halving ETL errors by 50% and ensuring high data integrity across critical investment and insurance datasets, enhancing compliance and operational accuracy.
Education
Jawaharlal Nehru Technological University
Bachelor of Science - BS, Computer Science
Arizona State University
Master of Science - MS, Information Technology
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