Srikar Nikhil Vanama
Senior Data Engineer | 6+ Years in Python, Java, Spark, SQL, AWS | Expert in Data Pipelines, Analytics & Scalable Systems | Data-Driven Solutions Expert | Expertise in Scalable Systems & API Development
- Role
- Senior Data Engineer at Morgan Stanley
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Srikar Nikhil Vanama
Senior Data Engineer | 6+ Years in Data Engineering, Analytics & Scalable…
Experience
Senior Data Engineer
May 2023 — Present · MD, US
Developed and deployed scalable, high-throughput data pipelines and ETL workflows for the firm\'s high-frequency trading platform,employing Apache Spark for efficient processing and low-latency data delivery, achieving a 20% latency reduction and 10% trading volume increase, improving overall trading performanceEngineered high-performance data pipelines using Apache Spark to analyze historical trade and market data, increasing processing efficiency by 30% and accelerating ETL workloads, enabling rapid analytics and back-testing for trading strategy enhancementDesigned and deployed AWS cloud data infrastructure, utilizing AWS Lambda and S3 for serverless processing and scalable storage, achieving 25% operational overhead reduction and enhancing scalability and security for streaming dataArchitected and optimized data modeling and warehousing for the firm\'s data platform, leveraging PostgreSQL (AWS RDS) and NoSQL (Elasticsearch) databases,improving query performance by 40% through schema optimization and indexing, streamlining data access for financial analytics and reportingEngineered real-time data streaming pipelines via Apache Kafka for financial trading events in microservices, ensuring scalable, fault-tolerant, high-throughput data flows, enhancing system reliability during peak tradingDesigned and implemented RESTful APIs using Spring Boot (Java) and Flask (Python) to expose trading and market data, enabling seamless data integration and real-time access, supporting data-driven insights for trading operationsPartnered with data scientists/quant analysts to refine financial models, building Python (Pandas/NumPy) data pipelines for data preparation and feature engineering, enhancing pricing engine and risk model accuracyStreamlined financial data ingestion into the enterprise data lake using Apache NiFi, orchestrating real-time routing and transformation, ensuring efficient, timely data availability for risk modeling and advanced financial analytics
Education
National Institute of Technology Warangal
Bachelor of Technology - BTech
University of Maryland Baltimore County
Master's degree
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