Venkat Rajadurai

Venkat Rajadurai

Data Engineering Leader | Senior Architect | MLOps Specialist End-to-End Data Integration & Machine Learning Pipelines | Technical Delivery Manager | MCA | UBS & Credit Suisse Finance Background | Seeking opportunities

Role
Executive Director at 瑞银集团
Location
New York, NY, US
LinkedIn followers
500 followers

About Venkat Rajadurai

I am a Senior Data Architect and Engineering Leader with over 20 years of experience driving large-scale data transformation within the world’s leading financial institutions. My expertise lies at the intersection of traditional Data Warehousing (MDM, Regulatory Compliance) and the Modern Data Stack (Databricks, Spark, Azure).Throughout my tenure at UBS and Credit Suisse, I have specialized in architecting resilient data infrastructures that bridge the gap between complex raw datasets and actionable business intelligence. Whether leading global engineering teams for real-time Salesforce integrations or decommissioning legacy analytics applications, my focus remains on operational efficiency, data integrity, and strict regulatory adherence. Featured Project: The Stock Risk Engine (Phase I & II)I recently developed a sophisticated Stock Risk Engine to demonstrate a full-scale Medallion Architecture (Bronze, Silver, Gold) implementation for quantitative finance.• System of Record (Phase I): Built a production-grade pipeline to calculate realized risk metrics, including 130-day Rolling Beta and 30-day Rolling Volatility for high-growth assets like NVDA and TSLA. • System of Inference (Phase II): Advanced the platform into predictive analytics by architecting a Machine Learning Feature Store. • Predictive Modeling: Implemented \"Beta Drift\" forecasting by using LEAD-shifted target variables and Vasicek Shrinkage to adjust historical estimates toward long-term averages. • Technical Stack: Python, SQL (SQLite/Databricks), Plotly Dash, and Machine Learning (Random Forest/LSTM). Core Competencies:• Architectural Leadership: Medallion Architecture, Data Modeling, and MDM Strategy.• FinTech Engineering: Quantitative Risk Engines, Regulatory Compliance (Audit/Impact Analysis), and Real-time CRM Integrations.• Cloud & Big Data: Databricks, Azure Certified, Apache Spark, and Advanced SQL.• Strategic Execution: Leading global engineering teams through complex application migrations and infrastructure scaling.I am passionate about building data platforms that don\'t just report on the past but provide a window into future risk. Let’s connect to discuss Data Engineering, Quant Finance, or the future of the Modern Data Stack.

Experience

  1. Executive Director

    瑞银集团

    Oct 2024 — Present · NY, US

    Spearheaded the integration of Client Analytics and Business Intelligence for 90K+ enterprise clients, enhancing operational efficiency.Modernized Data Strategy: Architected a Medallion Pipeline (Bronze/Silver/Gold) to transition legacy applications into modern Systems of Inference.Risk & Compliance: Managed the delinking of Regulatory Applications during the bank merger, ensuring 100% compliance with global standards.

Education

  • PSG College of Technology

    Master's degree, Computer Science

  • Madurai Kamaraj University

    Bachelor's degree, Mathematics

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