Experience

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  Pitney bowes

  Jun 2019 - Feb 2020

  Intern

  - Implemented data integration workflows using AWS Glue, orchestrating data movement and transformations across diverse data sources, both within AWS and on-premises.- Implemented data partitioning and compression techniques within Amazon Redshift to optimize query performance and reduce operational costs.- Managed end-to-end data visualization projects using Amazon QuickSight, creating interactive dashboards and reports to deliver data-driven insights to stakeholders.- Collaborated with DevOps teams to ensure continuous deployment and monitoring of the serverless solution, enhancing reliability and availability. Show less

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  Precisely

  Jun 2019 - now

  Data engineer i

  - Designed and executed comprehensive data integration workflows using Azure Data Factory, orchestrating data movement and transformation across various sources, including Azure Data Lake Storage, on-premises databases, and cloud-based services.- Leveraged ETL capabilities to ensure seamless data flow, transformation, and enrichment, resulting in improved data quality and accessibility for analytics and reporting purposes.- Developed and executed PySpark scripts to perform data transformations, feature engineering, and predictive modeling, resulting in actionable insights and informed decision-making for business stakeholders.- Utilized indexing and query tuning techniques to enhance database performance, reducing query execution time by up to 40% and improving application responsiveness.- Collaborated with cross-functional teams to define visualization requirements, design user-friendly dashboards, and deliver compelling presentations that drove business strategies and actions. Show less