L
Laxman Rao Thulluru
About
Detail
United States
Résumé
Jobs
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Data EngineerWealthfrontJan 2024 - Current (2 years 6 months)• Worked on building a real-time financial planning data platform using Apache Kafka, Flink, and Spark Streaming to reduce ingestion latency by 60% for personalized investment recommendations and goal tracking. Collaborated with product and engineering teams in requirement gathering sessions. • Designed low-latency pipelines with Apache Ignite, Apache Cassandra, and PostgreSQL to support real-time fraud detection, transaction anomaly identification, and portfolio valuation, achieving sub-10ms response times and 99.99% uptime for critical services. • Optimized large-scale ETL workflows using PyArrow, Dask, Modin, and Apache Spark, tripling processing speeds for customer analytics, asset allocation reports, and tax-loss harvesting on petab- MData EngineerMassMutual IndiaJan 2021 - Dec 2022 (2 years)• Conducted requirement gathering sessions with analytics, risk, and business teams to understand data needs and design a Real Time Risk Monitoring Platform delivering accurate, timely risk insights for enterprise-wide decisions. • Built scalable, fault-tolerant ingestion pipelines using Apache Flume, Apache Kafka, and Azure Event Hubs, efficiently capturing high volume streaming data from trading and operational systems with 75% improved availability. • Developed robust ETL workflows leveraging Apache Spark on Azure Databricks and Azure Synapse Analytics, handling batch processing, incremental data loads, and audit logging to maintain data integrity and regulatory compliance. Integrated Snowflake for scalable analytics storage and optim
- MJr. Data EngineerMassMutual IndiaJan 2020 - Dec 2020 (1 year)• Built and maintained ETL pipelines using Apache Spark and Hadoop to process large insurance claim datasets, improving data accessibility and reducing processing time by 30%. • Developed and optimized SQL queries for automated batch reporting, decreasing report generation time by 40% and enhancing accuracy of key business metrics. • Created Python scripts for data validation and integrated workflows using ADF, increasing pipeline stability and data quality by 35%. Used Git for collaborative development and version control. • Collaborated with cross-functional teams to document data pipelines, workflows, and validation processes, ensuring ease of maintenance and knowledge transfer.
Education
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- Master of ScienceAuburn University at MontgomeryJan 2023 - May 2024 (1 year 5 months)
- Bachelor of TechnologyNalla Malla Reddy Engineering CollegeJun 2018 - Jul 2022 (4 years 2 months)