Python AWS

Experience implementing a data pipeline using Lambda, Fargate etc Extensive experience with AWS data services: S3, RDS, EMR, ECS, Document DB, Step functions, Athena etc Data Storage Platform - MongoDB and Postgres Extensive experience writing and tuning SQL queries Programming in Python is required and one or more languages (Java, Scala or GoLang) will be an added advantage. Experience in Big data technologies like HDFS, Kafka, Spark, Flink etc is a plus.

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Hands-on experience with implementation of real-time batch use cases on AWS Lambda, Fargate etc in Python managing data flows that integrate information from various sources into a common pool implementing data pipelines based on the ETL model. - Strong in Development, problem-solving skills, and algorithms with specialization in Data Cloud development effort focusing on scalability, quality and performance -

 Responsible for data ingestion, solution design, use case development and post production use case support and enhancements. - Expert in Python programming skills. - Possess sound knowledge on AWS platform technologies and architecture. - Working experience in the Agile development environment.