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Data Engineer and AI/ML professional with 6+ years of experience building scalable data platforms and analytics solutions across healthcare and banking domains. Skilled in end-to-end data pipelines and modern architectures (Data Lake/Medallion), using Azure Data Factory, Azure Databricks, ADLS Gen2, and Snowflake for batch and near real-time processing. Hands-on with PySpark/SQL and ML/GenAI use cases including predictive modeling, NLP, and RAG chatbot systems using Python, TensorFlow, GPT models, LangChain/LangGraph, and vector databases. Also delivers analytics dashboards with Power BI and focuses on data governance, quality, and regulatory compliance (HIPAA/financial regulations).…Data Engineer and AI/ML professional with 6+ years of experience building scalable data platforms and analytics solutions across healthcare and banking domains. Skilled in end-to-end data pipelines and modern architectures (Data Lake/Medallion), using Azure Data Factory, Azure Databricks, ADLS Gen2, and Snowflake for batch and near real-time processing. Hands-on with PySpark/SQL and ML/GenAI use cases including predictive modeling, NLP, and RAG chatbot systems using Python, TensorFlow, GPT models, LangChain/LangGraph, and vector databases. Also delivers analytics dashboards with Power BI and focuses on data governance, quality, and regulatory compliance (HIPAA/financial regulations).

Ramana Reddy

Data Scientist, Data Analyst, AI Engineer, +1

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Data Engineer and AI/ML professional with 6+ years of experience building scalable data platforms and analytics solutions across healthcare and banking domains. Skilled in end-to-end data pipelines and modern architectures (Data Lake/Medallion), using Azure Data Factory, Azure Databricks, ADLS Gen2, and Snowflake for batch and near real-time processing. Hands-on with PySpark/SQL and ML/GenAI use cases including predictive modeling, NLP, and RAG chatbot systems using Python, TensorFlow, GPT models, LangChain/LangGraph, and vector databases. Also delivers analytics dashboards with Power BI and focuses on data governance, quality, and regulatory compliance (HIPAA/financial regulations).…Data Engineer and AI/ML professional with 6+ years of experience building scalable data platforms and analytics solutions across healthcare and banking domains. Skilled in end-to-end data pipelines and modern architectures (Data Lake/Medallion), using Azure Data Factory, Azure Databricks, ADLS Gen2, and Snowflake for batch and near real-time processing. Hands-on with PySpark/SQL and ML/GenAI use cases including predictive modeling, NLP, and RAG chatbot systems using Python, TensorFlow, GPT models, LangChain/LangGraph, and vector databases. Also delivers analytics dashboards with Power BI and focuses on data governance, quality, and regulatory compliance (HIPAA/financial regulations).

Available to hire

Data Engineer and AI/ML professional with 6+ years of experience building scalable data platforms and analytics solutions across healthcare and banking domains. Skilled in end-to-end data pipelines and modern architectures (Data Lake/Medallion), using Azure Data Factory, Azure Databricks, ADLS Gen2, and Snowflake for batch and near real-time processing.

Hands-on with PySpark/SQL and ML/GenAI use cases including predictive modeling, NLP, and RAG chatbot systems using Python, TensorFlow, GPT models, LangChain/LangGraph, and vector databases. Also delivers analytics dashboards with Power BI and focuses on data governance, quality, and regulatory compliance (HIPAA/financial regulations).

Skills

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Intermediate

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Beginner

Work Experience

Data Scientist / AI-ML Engineer at Aurora – Madison

January 1, 2025 - Present

Built Medallion Architecture-based data pipelines on Azure Data Factory and Databricks with CDC for near real-time updates and feature engineering aligned to FHIR/ICD-10 mappings. Supported predictive modeling (XGBoost, Clinical BERT) for discharge readiness and readmission risk, including CI/CD for ML using MLflow and GitHub Actions. Implemented monitoring with Prometheus/Grafana, and applied HIPAA-aligned security controls such as PHI tokenization, row-level security, and audit logging. Contributed to a RAG-based GPT chatbot for clinical staff, including preprocessing/de-identification of EHR/discharge summaries and integration between Snowflake and vector databases (e.g., Pinecone) for semantic search. Assisted with workflow orchestration using LangChain/LangGraph and added basic service monitoring/alerting.

GenAI / ML Engineer at Cigna, Bloomfield, CT

August 1, 2023 - December 1, 2024

Developed and maintained healthcare analytics data pipelines with validation/cleansing, and built data models for KPIs such as outcomes, readmission rate, length of stay, and resource utilization. Delivered clinician-facing dashboards in Power BI and performed ad-hoc analyses on EHR/claims/operational datasets. Built and supported ML models for patient risk stratification, readmission prediction, and clinical text analysis. Worked on GenAI solutions including clinical summarization and conversational assistants using GPT-based models, along with RAG pipelines using vector databases for semantic search and Q&A. Supported ML deployment/inference workflows, model monitoring (accuracy/precision/recall/latency), and HIPAA-aligned security practices (anonymization, access controls, audit logging).

Sr. Data Engineer at Community Choice Financial

June 1, 2022 - August 1, 2023

Created Azure-based data offloading framework for SAS reporting using HDInsight with Scala/Spark/PySpark. Built ETL pipelines with Azure Data Factory to load data from Azure Blob Storage into Azure Synapse Analytics, and implemented complex transformations on Azure Databricks. Developed ingestion pipelines into ADLS Gen2 for structured/unstructured sources and provisioned Azure services for scalability and cost optimization. Automated streaming ingestion into Azure Data Lakes via Azure Stream Analytics and built/support queries for Azure SQL using Python, including integration test cases. Managed storage accounts and policies for Blob Storage and orchestrated ingestion pipelines using Event Hubs, Data Factory, HDInsight, and Stream Analytics for customer behavioral and financial history data.

Data Engineer at Innovaccer, San Francisco, CA

March 1, 2020 - August 1, 2022

Designed and implemented end-to-end ETL pipelines using Azure Data Factory to ingest data from diverse sources into Snowflake. Orchestrated large-scale transformations with Azure Databricks and Apache Spark, improving processing speed by ~14%. Enabled real-time streaming ingestion into Snowflake using Azure Event Hubs and Azure Functions. Implemented archiving and retention strategies using ADLS Gen2 and Snowflake Time Travel for compliance and data management. Built Azure Functions for preprocessing/enrichment/validation. Partnered with stakeholders to deliver scalable solutions and implemented CI/CD pipelines with Jenkins to streamline build/test/deployment workflows.