Pruthviraj Ganji

About Pruthviraj Ganji

Versatile AI-focused Data Engineering professional with 5+ years of experience delivering…

Experience

1. Ai Data Engineer

   Zest AI

   May 2024 — Present · Los Angeles, CA, US

   Architected and optimized ML-centric, serverless data pipelines using Python, SQL, and AWS Glue ETL, enabling seamless ingestion and transformation of multi-source financial datasets for AI-powered portfolio optimization. Designed and implemented a cloud-native feature store leveraging Amazon Redshift, S3, and DynamoDB, supporting scalable, reusable feature sets across both batch and real-time ML workflows—reducing redundant feature engineering by 40%. Automated complex data workflows with AWS Lambda and Step Functions orchestration, achieving a 70% reduction in manual interventions and enhancing the reliability and scalability of real-time ML data delivery. Orchestrated low-latency, event-driven streaming pipelines using Amazon Kinesis Data Streams and Firehose, powering real- time anomaly detection and risk assessment models, cutting fraud detection latency by 22%. Developed distributed Spark and HiveQL processing jobs on AWS EMR clusters to handle structured, semi-structured, and unstructured financial data, generating high-fidelity training datasets for supervised machine learning. Built and maintained a robust Data Quality Validation Layer (DQVL) leveraging AWS native monitoring tools to track schema drift, null values, and statistical anomalies—ensuring high data integrity for ML model training and inference. Established a metadata-driven data catalog and lineage tracking system using MongoDB and DynamoDB, supporting Explainable AI (XAI) efforts with comprehensive audit trails and model governance. Integrated legacy data systems with modern cloud ETL workflows by leveraging Informatica and SSIS, enabling unified, high-quality training data preparation across disparate sources. Delivered scalable, interactive AI model performance dashboards via AWS QuickSight and Tableau, empowering wealth advisors and stakeholders with real-time transparency and actionable investment insights.

Education

• The University of Texas at Arlington

  Masters of science, Information Science/Studies

• Malla Reddy (MR) Deemed to be University

  Bachelor of Technology - BTech