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Sahithi K
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
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Data engineer with experience at Moderna and Block owning high-volume (≈10TB/day) production pipelines on AWS, using Kafka/S3/Glue/dbt/Snowflake with strong data quality and observability practices (schema validation, anomaly detection, CloudWatch monitoring). Also built external financial API ingestion with Airflow retries, throttling/token rotation, and schema versioning, and helped stand up an early-stage biomedical data platform with CI/CD and incident debugging.
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Key Strengths
- Owned end-to-end data pipeline processing ~10TB/day (Kafka → S3 → PySpark/Glue/dbt → Snowflake)
- Implemented robust data quality controls (schema validation, null checks, anomaly detection, dbt tests)
- Built monitoring/alerting for pipeline health and freshness using CloudWatch dashboards and alerts
- Designed external data ingestion with reliability features (Airflow retries, API throttling, token rotation, schema versioning)
- Improved data service performance via query optimization and partitioning; standardized datasets and documentation
- Stood up an early-stage biomedical data platform end-to-end (MVP definition, AWS Glue/dbt tradeoffs, CI/CD with Jenkins/CodePipeline, observability)
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