Hello and welcome to my profile! I am a Data Engineer and a certified AWS Solutions Architect. I naturally enjoy working with the finer details and thrive on challenges to provide clarity and find solutions that help people lead better lives.• Skilled in Data Engineering, ELT/ETL, Data Analysis and Visualization (SQL, Python, Apache Airflow, Power BI, Tableau, MS Excel) with prior experience of nearly 7 years in Java web application development and automation testing in agile environments.• Data Analytics Immersive at General Assembly – a robust, full time, hands-on training that was nothing short of the full, real work experience! Few projects completed include exploring Aged care in Australia, analyzing data sets for Airbnb, Bikeshare, COVID-19, Gender pay gap.• Well rounded background of software development, object oriented programming, databases, SQL, data structures, code debugging, refactoring and analytical thinking.• Experience in customer service and engagement in Sydney and in prior IT Consulting roles has helped me to broaden my understanding of people. I can connect better with my team members & seniors, providing them with the necessary support, to help build an environment of trust, transparency and better productivity.• Worked closely with diverse stakeholders in Sydney and with changing priorities. Developed skills and aptitude to be an active listener, ask the right questions to understand the pain points and translate complex business / technical requirements into simpler forms.I wish to be part of community driven projects that harvest data and use it as an asset. Contact me at swatigupta.da@gmail.com
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Data EngineerCimet Apr 2023 - Jul 2024Sydney, New South Wales, Australia -
Data Analytics ImmersiveGeneral Assembly Aug 2022 - Nov 2022Sydney, New South Wales, Australia -
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Consultant (Java Developer)Headstrong Jul 2010 - Aug 2012Noida Area, India -
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Java Developer / Associate TechnologySapient 2006 - 2008India
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Swati G.'s current role is Data & Analytics Engineer | AWS Certified | SQL, Python, Apache Airflow, Tableau, Power BI, MS Excel.
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