V
Veera Ravuri
About
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New York, United States
Résumé
Jobs
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Data EngineerWealthfrontOct 2024 - Current (1 year 9 months)• Developed a high-throughput data ingestion system using Apache Kafka and Spark Streaming to integrate diverse financial datasets, enabling near real-time credit risk scoring and macroeconomic trend analysis, improving risk model update frequency by 50%. • Architected low-latency pipelines with Apache Ignite, Apache Cassandra, and PostgreSQL for real-time credit exposure monitoring and early warning signals, achieving sub-10ms response times and 99.99% uptime. • Built Python-based analytics and automation workflows using Pandas, NumPy, PySpark, SQLAlchemy, and Snowflake; delivered Power BI dashboards that reduced manual effort by 80% and improved data accuracy. • Enhanced ETL workflows for credit and market data using PyArrow, Dask, Mo- Data EngineerThe Cigna GroupJan 2022 - Jul 2023 (1 year 7 months)• Collaborated closely with actuarial, clinical analytics, and business teamsto gather requirements and design a Real-Time Health Risk Monitoring Platform, delivering accurate and timely insights for enterprise-wide decision-making in healthcare risk management. • Engineered scalable, fault-tolerant data ingestion pipelines using Apache Flume, Kafka, and Azure Event Hubs, efficiently capturing high-volume streaming data from patient records, claims, and operational systems, achieving a 75% gain in pipeline availability. • Developed robust ETL workflows using Apache Spark on Azure Databricks and Azure Synapse Analytics, managing batch and incremental loads of large healthcare datasets while ensuring audit logging and compliance with HIPAA
- Jr. Data EngineerThe Cigna GroupJan 2021 - Dec 2021 (1 year)• Developed and maintained scalable ETL pipelines using Apache Spark and Hadoop to efficiently process large healthcare claims datasets, reducing data processing time by 30% and ensuring faster data availability for analytics and reporting teams. • Created and optimized complex SQL queries for automated batch reporting on insurance claims and member data, improving report generation speed by 40% and increasing accuracy of key healthcare performance metrics for business decision-making. • Automated data validation scripts in Python and integrated them with ADF workflows, improving pipeline stability and data quality by 35%, while collaborating with cross-functional teams to document workflows and support seamless knowledge transfer.
Education
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- Master of ScienceTexas Tech UniversityAug 2023 - May 2025 (1 year 10 months)
- GBachelor of TechnologyGandhi Institute of Technology and Management (GITAM)Jun 2019 - May 2023 (4 years)
- MMeta Database Engineer
- SSQL Associate certificate