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Arpit Saxena
Analytics Engineer @Deliveroo | Ex Amazon
About
Arpit Saxena is a Business Intelligence Engineer at Amazon with a strong background in data analysis, dashboard creation, and visualization. He is a self-motivated individual who excels in recognizing trends and patterns while correlating them to business problems. Currently, Arpit is responsible for creating end-to-end data pipelines, dashboards, and visualizations. He works with a team of analytical thinkers who can quickly approach large ambiguous problems and apply technical and engineering expertise to rapidly prototype and deliver solutions. Arpit's key responsibilities include performing complex data analysis, designing and establishing KPIs, building infrastructure and implementing maintenance strategies, and working with large datasets to automate data extraction and build monitoring/reporting dashboards and high-value, self-service automated BI solutions. Arpit's technical expertise includes SQL (Amazon Redshift/PostgreSQL/Oracle/MySQL), Python3, Quicksight, S3, SNS, SQS, AWS Lambda, Firehose, EC2, Excel, Linux, ETL, among others. Prior to his current role at Amazon, Arpit worked as a Software Development Senior Associate at NTT Data, where he was an ETL Developer and worked on migration projects from Oracle Warehouse Builder to Oracle Data Integrator. He was also responsible for developing new mappings, re-building existing ones, creating technical documents, and assisting the testing team with DB testing and quality assurance. Arpit's educational background includes a Bachelor's Degree in Computer Science and Engineering from SRM University and a High School degree in Mathematics and Computer Science from S.T. Thomas School, Indirapuram, Ghaziabad. Overall, Arpit has 4.70 years of relevant experience and is proficient in AWS, SQL, ETL, MySQL, infra, Python, Swift, Software Engineer, and QA.
Education Overview
• srm university
• s.t.thomas school indirapuram ghaziabad
Companies Overview
• deliveroo
• amazon
• ntt data
• hcl
Experience Overview
6.6 Years
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