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Prasanth Sai
Mid-level Data Engineer specializing in cloud lakehouse/warehouse pipelines
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About
Data engineer with HCA Healthcare experience building and operating end-to-end AWS-based pipelines for clinical and operational reporting (50–100 GB/day), serving curated data into Redshift/Snowflake for Power BI/Tableau. Emphasizes production reliability (Airflow SLAs/retries/alerting, logging/observability) and strong data quality controls (reconciliations, schema/null/duplicate checks), and has shipped versioned REST APIs to expose warehouse data to downstream systems.
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Key Strengths
- Owned end-to-end clinical/operational reporting pipeline (ingestion to serving) processing ~50–100 GB/day
- Strong data quality and completeness practices (schema/null/RI checks, duplicate detection, source-target reconciliations)
- Production reliability engineering with Airflow (SLAs, retries, dependency checks, alerting) and detailed job logging
- Performance optimization in Spark/SQL (partitioning, caching, query optimization)
- Designed resilient external data ingestion patterns (schema-change handling, exponential backoff retries, idempotency, safe backfills)
- Built versioned REST APIs over Snowflake with documentation and consistent contracts for downstream consumers
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