Ujwala Vallampatla

About Ujwala Vallampatla

AI-driven Data Engineering leader building scalable, cloud-native data platforms that turn complex data into actionable intelligence. I lead high-performing teams to deliver AI-powered pipelines, real-time analytics, and self-service solutions that enable faster, smarter decision-making. Passionate about driving innovation, operational data excellence, and measurable business impact through AI-first data strategies.At the core of my role is a commitment to data quality, governance, and security, enabling robust compliance and democratization efforts. Collaborating across teams, we empower AI/ML initiatives and analytics solutions that enhance trading informatics. My mission is to deliver cutting-edge data solutions that align with TradeStation’s goals of excellence in trading and innovation.

Experience

1. Sr Manager of Dataengineering

   TradeStation

   Jan 2025 — Present · US

   As a Senior Manager of Data Engineering, I am leading data engineering team responsible for designing, managing, and optimizing TradeStation’s enterprise data lake.My role focuses on building scalable and efficient data lake house, data pipelines, data bricks analytics infrastructure, and support AI/ML capabilities for analytics and strategic decision-making.Key Responsibilities:Data Platform Leadership – Oversee the architecture, development, and management of Data Bricks Data Lake, Synapse Analytics, and legacy data systems.Data Strategy & Governance – Define and implement best practices for data quality, security, monitoring and compliance to ensure robust data governance and Data democratization in Data Bricks.Advanced Analytics & AI/ML – supporting innovation by integrating Azure AI, agentics AI, Agent bricks, machine learning models including sigma, PowerBI, Gene and Glean, and real-time analytics into business workflows.Cross-Functional Collaboration – Partner with business stakeholders, analysts, and data scientists to align data initiatives with company objectives.Performance & Monitoring – Leverage DataDog and other observability tools to optimize data pipeline efficiency, reliability, and cost-effectiveness.Team Development & Leadership – Mentor and grow a high-performing team, fostering a culture of continuous learning, Agile delivery, and data-driven innovation.Technology Stack:Cloud: Azure, AWS(Data Lake, Synapse, AI/ML)Big Data & Analytics: Databricks, Spark, Python, SQLMonitoring & Observability: DataDog, Logging & Alerting FrameworksETL & Data Pipelines: Azure Data Factory, Event-Driven Architecture, DataBricks DLT.Excited to lead TradeStation’s data engineering efforts and drive impactful, data-driven solutions for the future of trading financial analytics.

Education

• Kakathiya University

  Bachelor’s Degree, Biochemistry

• Osmania University

  Master's degree, Science

• Bharathiya Vidhya Bhavan

  Master’s Degree, Biochemistry

Skills

• Data Base
• Project Management
• Source Code Management
• Informatica
• Oracle Applications
• Data Warehousing
• Customer Service
• Reporting & Analysis
• Strategic Planning
• Microsoft Azure
• Ad Hoc Reporting
• Power Bi
• Microsoft Power Bi
• Business Objects
• Pharmaceutical Sales
• Obia, Informatica, Dac, Analytics
• Lifesciences
• Data Analysis
• Obiee
• Oracle Business Intelligence
• Process Improvement
• Automation
• Pharmaceutical Industry
• QA Automation
• Sap Bi
• Microsoft Office
• Oracle
• Validation
• Change Management
• Sas Programming
• Databases
• Business Intelligence