Kshitij Gajjar

Kshitij Gajjar

Associate Director Data Architecture @ValueMomentum

New York, NY, US
EMAILS
k••••••••@valuemomentum.com
MOBILE NUMBERS
+12•••••••05

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WORK HISTORY

Mar 2022 — Present

Associate Director Data Architecture @ValueMomentum

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NJ, US

EDUCATION

2004 — 2007

University of Mumbai

B.E, Computers

N/A

Massachusetts Institute of Technology

Data Science and Machine Learning: Making Data-Driven Decisions , Artificial Intelligence

SKILLS

Requirements GatheringMicrosoft Sql ServerSdlcDatabase DevelopmentJavaApache PheonixBig DataAgile MethodologiesIntegrationHadoopAgile Project ManagementDatabase AdministrationData WarehousingPl/SqlDatabase DesignData MigrationHbaseData AnalysisDatabasesOracle Sql DeveloperImpalaSoftware Project ManagementUnixData ModelingHealthcare Information TechnologySqlSoftware DevelopmentLinuxRelational DatabasesPerformance TuningOracleRequirements AnalysisCloud ComputingWindows AzureOltpDatabase AnalysisExtract, Transform, Load (Etl)HiveBig Data Analytics

ABOUT KSHITIJ GAJJAR

I am an Associate Director of Digital and Data Solutions at ValueMomentum, leading strategy, design, development and delivery of AI, GenAI, LLM-driven, and modern data platforms for major healthcare and insurance organizations. With 18+ years of experience across software engineering, data warehousing, data science, and cloud modernization, I specialize in converting complex business challenges into scalable, secure, and measurable outcomes.My core expertise spans productizing GenAI and LLM workflows, building AI-enabled smart data platforms, and delivering enterprise-grade solutions across Snowflake, Databricks, and major cloud platforms. I bring deep healthcare knowledge across Payers, Providers, PBMs, and Senior Care, with hands-on experience in interoperability and clinical data standards including FHIR, HL7, EDI, and ADT. My work includes impactful use cases such as Digital Twins for care and cost optimization, AI-driven claims automation (intake, adjudication, error detection), GenAI-assisted ETL and engineering automation, AI-enhanced prior authorization and medical chart review, patient/member 360 intelligence, and LLM-powered assistants for care management and operations.

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