Kushagra Agarwal — Software Engineer
As a Data Engineer II at Amazon, I bring over five years of expertise in building and automating scalable data pipelines, leveraging tools like DBT, Airflow, and Redshift. My work has supported critical initiatives, such as achieving 100% GDPR compliance across datasets and automating workflows to empower stakeholders with self-service predictive analytics, significantly enhancing operational efficiency and decision-making flexibility. At Amazon, I contributed to sustainability efforts by automating data transfers for EV incentive programs, showcasing a commitment to impactful, innovative solutions. With a focus on collaboration and process optimization, I am dedicated to enabling teams to enhance their data infrastructure, ensuring alignment with organizational goals while driving measurable results.
Stackforce AI infers this person is a Data Engineering expert in SaaS with a focus on data pipeline automation and compliance.
Location: San Francisco, California, United States
Experience: 11 yrs 5 mos
Skills
- Data Engineering
- Data Pipelines
Career Highlights
- Achieved 100% GDPR compliance across datasets.
- Automated workflows saving 20+ engineering hours/month.
- Developed self-service predictive analytics tools.
Work Experience
10x Genomics
Senior Data Engineer (6 mos)
Amazon
Data Engineer II (5 yrs 5 mos)
Facteus (formerly ARM Insight, Inc.)
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MAQ Software
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NYU Tandon School of Engineering
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Summer Intern (1 mo)
Education
Master of Science (M.S.) at NYU Tandon School of Engineering
Bachelor's degree at Vellore Institute of Technology