Shashank Mishra 🇮🇳
About Shashank Mishra 🇮🇳
Shashank Mishra is a Data Engineer with extensive experience in data visualization, AWS services, and Big Data frameworks. He has worked for notable companies such as Amazon, Expedia Group, and Paytm, and actively contributes to the data engineering community through educational content.
Work at Prophecy
Shashank Mishra has been employed at Prophecy as a Data Engineer since 2024. In this role, he focuses on developing and optimizing data pipelines, ensuring efficient data processing and management. His work involves collaboration with business teams and stakeholders to enhance project ownership and drive data-driven decision-making.
Previous Experience at Amazon
Prior to joining Prophecy, Shashank worked at Amazon as a Data Engineer from 2020 to 2021 in Bengaluru, Karnataka, India. During his tenure, he contributed to various data engineering projects, leveraging his skills in data visualization and monitoring tools, as well as AWS services.
Education and Expertise
Shashank holds a Master of Computer Applications (M.C.A.) degree from Motilal Nehru National Institute Of Technology, where he studied Computer Science and Engineering from 2014 to 2017. He also earned a B.Sc. in Computer Science from Lucknow University from 2011 to 2014. His educational background provides a strong foundation for his expertise in programming languages such as Python, Java, Scala, and Shell Scripting, as well as Big Data frameworks including Hadoop, Spark, and Kafka.
Contributions to the Data Engineering Community
Shashank actively contributes to the data engineering community by creating educational content and podcasts on his YouTube channel, 'E-Learning Bridge.' Since 2020, he has focused on knowledge sharing and content creation, helping others in the field of data engineering to enhance their skills and understanding.
Career Timeline and Roles
Shashank has held various positions in the tech industry, including roles at Paytm, QuantumBlack (AI by McKinsey), and Expedia Group. His career spans multiple domains such as fintech, telecommunications, and pharmaceuticals, where he has solved complex data challenges. His experience includes working as a Software Engineer in Big Data and Analytics at OperaSolutions, where he progressed from an intern to a Software Engineer - II.