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Kamal Ede
Mid-level Data Engineer specializing in cloud data platforms, Spark, and streaming pipelines
S&P GlobalUniversity of Central MissouriMO, USA4 Years ExperienceMid LevelWorks Remote
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About
Data/MLOps engineer (Cognizant background) who owned an AWS/Airflow/Snowflake healthcare transactions pipeline processing ~8–10M records/day and cut pipeline/data-quality incidents by ~33%. Also built and deployed a production FastAPI model-inference service on Kubernetes (Docker, HPA) with strong observability (Prometheus/Grafana), versioned endpoints, and resilient backfill/idempotent external data ingestion patterns.
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