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With more than 7 years of demonstrated history in designing and implementing robust, scalable, and maintainable machine learning solutions, and ETL pipelines, I am passionate about data-driven solutions that lead to actionable insights and business decisions. Github: https://github.com/shaleenswarup Tools and Technologies: SQL, NoSQL, Python, JavaScript, Tableau Quicksight, Hadoop, Spark, Kafka, Airflow, Databricks, TensorFlow (TXF), Docker, Kubernetes, Docker, Bash, dbt, Git Cloud Platforms: Amazon Web Services (AWS) - EC2, S3, AWS Redshift, DynamoDB, Glue, Athena, EMR, Lambda, SQS, SNS, Kinesis; Azure -Azure Synapse, Azure Data Factory, Azure Databricks Databases: Redshift, Azure Synapse, Cassandra, MongoDB, Postgres, MySQL Techniques: Predictive Modelling, Exploratory Analysis, Statistical Analysis, Time Series Forecasting, A/B Testing
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