Strategic Data Engineer with 3 years of experience crafting end-to-end data solutions using AWS, Azure, Hadoop, and Spark. Proficient in Python and SQL for scalable pipelines and analytics. Collaborative team player tran…
Strategic Data Engineer with 3 years of experience crafting end-to-end data solutions using AWS, Azure, Hadoop, and Spark. Proficient in Python and SQL for scalable pipelines and analytics. Collaborative team player translating business needs into technical solutions. Committed to continuous learning and innovation, adept at optimizing performance and ensuring data integrity. Seeking to contribute expertise and drive impactful solutions in a dynamic team setting.
• Engineered ETL pipelines on AWS, drastically reducing data transformation time and boosting operational efficiency.
• Developed PySpark applications to extract, transform, and aggregate data, revealing profound customer usage insights.
• Implemented data transformation and cleaning using AWS Glue and EMR, ensuring data integrity throughout process.
• Led successful migration projects to AWS cloud environments, leveraging AWS Data Pipeline for seamless transitions
• Established robust CI/CD pipelines in AWS Code Pipeline incorporating serverless architecture with Lambda functions and proficiently managed and configured AWS services for optimal performance and reliability.
• Played a key role in Agile teams, driving iterative improvements and Collaborated in Agile methodologies, maintaining version control with GIT. Conducted data analysis and visualization using tools like Tableau and documented results.
Supported students in leveraging programming languages such as Python and SQL.
Supported students in leveraging data processing frameworks like Pandas and Spark to implement project solutions effectively.
Supported students in integrating cloud services with project workflows.
Used AWS Glue for ETL workflows.
Used Azure Data Factory for data integration.
Used Azure Machine Learning for predictive analytics.
Ensured efficient data processing, analytics, and machine learning workflows through cloud services integration.
Provided technical support.
Troubleshot cloud-related issues.
Ensured compliance with best practices.
Collaborated on data science projects.
Emphasized AWS and Azure cloud platforms for development and deployment.
Engineered ETL pipelines on AWS.
Reduced data transformation time.
Boosted operational efficiency.
Developed PySpark applications to extract, transform, and aggregate data.
Revealed customer usage insights.
Implemented data transformation and cleaning using AWS Glue and EMR.
Ensured data integrity throughout the process.
Led migration projects to AWS cloud environments.
Leveraged AWS Data Pipeline for seamless transitions.
Established CI/CD pipelines in AWS CodePipeline.
Incorporated serverless architecture with Lambda functions.
Managed and configured AWS services for optimal performance and reliability.
Played a key role in Agile teams.
Drove iterative improvements.
Collaborated in Agile methodologies.
Maintained version control with GIT.
Conducted data analysis and visualization using Tableau.
Documented results.
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