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Built long-term roadmaps for data platform and machine learning platform Experience in designing, analyzing, and visualizing large (>500 TB) datasets Build and manage multiple ETL infrastructures to identify text patterns and detect network and hardware anomalies Prepare critical metrics to guide product decisions in people, healthcare, computer games, and chemical analytics Multilingual (Dutch, English, Spanish) Keywords: Airflow, AWS (Cloudwatch, ECS, EKS, Fargate, Glue, Redshift, Kinesis, Databricks, Postgresql, S3), Azure (Azure Functions, Azure ML Studio, Databricks, PowerBI, SQL Server), BentoML, C++, Datadog, Docker, ElasticSearch, Flink, Kafka, Keras, Kubernetes, Hive, High Performance Computing, Github Actions, Gitlab CICD, Pagerduty, PowerBI, Prefect, Python (DBT, Numpy, Pydantic, Sklearn,Scipy), Pyspark, Neural Network, Natural Language Processing, MLFlow, MongoDB, Recommendations, Sagemaker, Scala, SparkML, SQL, Tableau, Terraform
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