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Seasoned Data Creator with: Data Engineering Skills -Pyspark, Snowflake, Apache NiFi, Spark, Scala, SQOOP, NoSQL - MongoDb, Hive, PyLab, Python/Shell-Scripting, Jupyter Notebook, Data Grinches, Apache Drill, Cluster and Factor Analysis. Experience- Lead the Data Engineering, DevOps & Application Development. Build Hybrid Data-pipeline to process data coming from various sources in batch & real-time mode, using Pyspark, Kinesis, Firehose, Elasticsearch. Developed highly scalable microservices to provide Real-time Predictions with an Inference Pipeline using Python, Flask, Sagemaker, ECS, Lambda, API Gateway. Innovate the automation of MLbased Product Lifecycle using CI/CD Design & Implement ML DevOps As A Service using Airflow, Jupyter Notebook, Sagemaker, Lambda, EMR. Build Data-Science analytics platform & ML frameworks for an end-to-end operationalization of Data Science projects. Part of Architectural design decisions making. Responsible for the Advancement of application development & DevOps practices
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