Sri Hari Sivashanmugam
Data Scientist @Chicago Department Of Public Health
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WORK HISTORY
Data Scientist @Chicago Department Of Public Health
Chicago, IL, US
As part of the Data Modernization Initiative, developed a longitudinal data model for 3.2 M+ citizens, standardizing medical records from diverse sources & formats (HL7, FHIR, CCDA), enabling cross-agency data interoperability. Designed and implemented a scalable data lakehouse using Medallion Architecture in Azure. Engineered Spark-based ETL jobs to seamlessly integrate & process large volumes of data, reducing ingestion time by 28%. Built machine learning models with ~97% accuracy using SDOH data, supporting outbreak predictions & resource planning. Designed and deployed 40+ Tableau dashboards to monitor community health metrics, served as a data steward. Established Active Directory-based data governance, developed data catalogs and data inventories for transparency. Enhanced cross-functional data flows using Salesforce, Rhapsody, and Azure tools, improving operational efficiency. Collaborated with the Office of Emergency Management and Communications (OEMC) to enhance CHI311 reporting capabilities, improving city agency responsiveness and service delivery to citizens. Streamlined reporting workflows by integrating Azure Synapse Analytics, enabling faster data querying & actionable insights. Conducted advanced geospatial analyses identifying areas requiring targeted interventions, leveraging Python and Tableau. Automated data quality checks using Python, reducing manual validation time by 35% & ensuring high data accuracy. Technologies: Python, Spark, Azure Data Factory, Azure Blob Storage, Azure SQL Database, Azure Active Directory, Databricks, Tableau, Machine Learning, Salesforce, Rhapsody, Azure Data Lake, Azure Synapse Analytics, Azure Purview
EDUCATION
Illinois Institute of Technology
Master's degree, Data Science
Amrita Vishwa Vidyapeetham, Coimbatore
Bachelor of Technology - BTech, Computer Science
ABOUT SRI HARI SIVASHANMUGAM
Sri Hari is a high-impact Data Scientist and Enterprise Data Architect with deep expertise in designing scalable, production-grade data models that drive decision-making across public sector, healthcare, and enterprise environments. With a strong foundation in cloud architecture, big data and advanced data modeling, he builds robust data ecosystems that are secure, future-ready, and optimized for performance at scale.His specialty lies in transforming fragmented, high-volume datasets into centralized, interoperable data platforms—supporting analytics, governance, and regulatory compliance. From architecting end-to-end data pipelines to enabling longitudinal analytics and metadata traceability, Sri brings precision and clarity to complex data landscapes.At the City of Chicago, he works on the data modernization efforts that consolidate multi-agency data sources into unified models that enable real-time insight and long-term strategic planning. His experience includes working with USCDI standards, integrating data from federal and state-level systems—but his approach and frameworks are adaptable across any large-scale data environment.Core competencies include:Enterprise Data Architecture & data ModelingAzure Cloud & Big data SolutionsScalable Data Pipeline Design & IntegrationMetadata, Governance & Lineage ManagementStandards-Driven Modeling (e.g, USCDI, HL7, FHIR)Agile Collaboration with Engineering, Analytics, and Business TeamsSri is passionate about building data infrastructure that not only performs but lasts—driving meaningful outcomes across industries through clean, intelligent, and actionable data design.
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