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Sai Vardhan Reddy
Mid-Level Data Engineer specializing in cloud data platforms and governed analytics
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About
Data engineer with Optum experience building end-to-end healthcare data pipelines for HL7/FHIR, processing millions of records daily across Kafka streaming and Databricks/Spark batch. Strong focus on data quality (schema enforcement/validations), reliability (Airflow monitoring/alerts), and analytics-ready serving in Snowflake powering Power BI/Tableau, with CI/CD via Git and Jenkins.
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Key Strengths
- Owned end-to-end healthcare data pipelines (ingestion to BI consumption) at million-records/day scale
- Strong data quality and schema validation practices to prevent downstream breakages
- Spark/PySpark performance optimization for high-volume streaming/batch workloads
- Built monitoring/alerting and operational reliability via Airflow orchestration and logging
- Designed modular, iterative pipeline architecture in ambiguous early-stage environment
- Enabled analytics consumption by modeling/standardizing data in Snowflake (incl. dbt) and optimizing queries for BI
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