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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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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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Mid-level Data Engineer specializing in AI/ML platforms and cloud data pipelines
USA4y exp
MetaTexas Tech University
“Built and shipped an LLM-powered data quality assistant that generates maintainable validation checks from metadata while executing validations via Great Expectations, exposed through FastAPI and integrated into Airflow-managed pipelines. Emphasizes production reliability (structured outputs, guardrails, monitoring, versioning, human review) and works closely with compliance/operations teams to deliver clear, auditable, user-friendly AI outputs.”