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Medha V

@medhav

Data Engineer at Claritev who built Kafka pipelines processing 500K+ transactions per hour and cut reporting runtimes to under 40 seconds.

United States
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At Claritev, I built and scaled real-time Kafka pipelines processing 500K+ transactions per hour for downstream analytics. I also designed Informatica ETL pipelines for HL7, FHIR, and EDI data, cutting ingestion time by 35%.

I optimized Claritev’s AWS Redshift warehouse, reducing reporting runtimes from minutes to under 40 seconds. I also implemented data validation and governance checks that reduced errors by 25%.

At UnitedHealthcare, I replaced overnight batch jobs with Flink and Kafka Streams ingestion for ITSM data, enabling near-real-time analytics. I consolidated reporting on Databricks Delta Lake and Snowflake and supported ad hoc analysis in GCP BigQuery.

At Hexaware Technologies, I built ingestion pipelines sustaining 90K+ daily records at sub-five-second latency and designed a Delta Lake architecture on Databricks. I also deployed a Snowflake warehouse that cut reporting turnaround from two days to 18 hours.

Experience

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Education

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RU

Rowan University

Master's, Data Science

2023 - 2024

Pursued a Master's in Data Science at Rowan University from 2023 to 2024.

Availability

Looking for a job

Location

United States

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Salary expectations

100k+ USD

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