Bhargavi Sriram

Experience

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  EPAM Systems

  Apr 2018 - May 2020

  Data Engineer

  Worked with Chevron Corporation USA on migration efforts to Azure Cloud and optimization of existing applications.- Optimized Scalable Data Workflows: Architected 6+ scalable Azure Data Factory pipelines to process and store upstream data in a centralized Data Lake, improving processing speed by 40%.- Improved System Performance: Enhanced backend data processing by tuning Impala queries integrated with Power BI dashboards, achieving approximately a 75% reduction in execution time post-migration.- Search Optimization: Led the migration of two Apache Solr-based search applications from on-premises to Azure Cognitive Search, resulting in a 50% improvement in search response times and enhanced scalability. Show less

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  Walmart Global Tech

  May 2020 - Jul 2021

  Data Engineer II

  Worked on the Data Strategy and Insights team to support pricing initiatives, driving data-backed decisions for merchandise pricing.- GCP Data Platform Migration: Optimized and migrated 10+ on-premise applications to Spark on GCP, handling petabyte-scale data with data quality 85% and 100% SLA delivery for accurate performance analysis and reporting.- Scalable Data Integration: Implemented efficient ETL workflows in Airflow to process more than 10 TB of data per day, managing the pricing of 1,000+ active rollback items, resulting in a 80% reduction in data processing time.- Query Optimization: Achieved a 40% increase in query performance, reducing processing times from 12 to 14 hours to just 1 hour through Spark SQL query optimizations and using optimized storage formats (Parquet/ORC). Show less

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  Indian Institute of Technology, Madras

  Feb 2022 - Apr 2023

  Data Engineer

  Project Officer specializing in Data Engineering and Machine Learning for a research initiative by IITM Pravartak Technologies and ICSR, IIT Madras, sponsored by Accenture.- Designed and implemented data infrastructure for a self-healing system using reinforcement learning (RL), deployed on edge devices to improve fault detection and recovery under partial observability, reducing downtime and manual intervention.- Built scalable data pipelines and monitoring frameworks to support real-time inference and system diagnostics across distributed edge networks.- Partnered with XYMA Analytics to deliver a data-driven decision support dashboard, integrating sensor analytics and real-time system health metrics to drive actionable insights for industrial operations. Show less

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  Dell Technologies

  Apr 2025 - Jun 2025

  Data Engineer – MSBA Capstone

  Built multi-agent financial Agentic AI models with end-to-end data pipelines and optimized data models for real-time investment portfolio recommendations.- Designed and implemented a real-time data infrastructure on Azure, centralizing financial data, including stock prices and company financials, into a MySQL database using Change Data Capture (CDC) and optimized data models. Improved analyst data access speed by 70%.- Built a scalable ETL pipeline in Python to process and integrate outputs from LLMs (DeepSeek, Hugging Face, Groq) into structured SQL databases. Enhanced data quality and query accuracy by 35% through systematic model evaluation and transformation logic.- Developed an autonomous, agent-based AI system using LangGraph and LLM APIs to analyze financial datasets and generate investment insights. This solution reduced manual research time by 60% and demonstrated the potential of intelligent agents in finance. Show less

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  Deep Sync

  Aug 2025 - now

  Senior Data Engineer