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Once upon a time, I discovered the world of data and fell in love with it. As a data enthusiast, I spent over seven years honing my skills in data engineering and analytics at top organizations like Amazon, IBM, American Express, and Anthem Inc.

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As I delved deeper into this domain, I realized that my passion for learning new technologies and data-related tasks was insatiable. So, I decided to shift into the Data Science industry and pursued a Master of Science in Business Analytics program at San Francisco State University.

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My experience has been diverse - from analyzing and assisting the head of the analytics department to creating predictive analysis and machine learning models to help businesses make data-driven decisions. Throughout my journey, I've always focused on the "why" and "how" instead of the "what," and that mindset has helped me succeed.

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​Currently, I am working as a Big Data Engineer at Amazon.com, where I am responsible for designing and building large-scale data processing systems. I work on a diverse range of projects, including data warehousing, data modeling, and ETL development. At Amazon, I have the opportunity to work with cutting-edge technologies, such as AWS Glue, AWS Lambda, and Amazon S3, to design scalable and fault-tolerant data pipelines that process petabytes of data each day.

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Apart from work, I love reading books by authors like Jen Sincero and Paulo Coelho, cooking new recipes, and rolling on skates while reading and writing data science blogs. And to keep my mind and body healthy, I also meditate and practice yoga.

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I believe that every day is an opportunity to learn and grow, and I am always eager to take on new challenges. So, if you're interested in knowing more about me and my skills, please take a look at my resume.

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Learn more about my journey, or you may visit my blog

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