About

Shivam Sharma is a highly skilled Data Engineer with a passion for solving complex data problems. He is currently working at Amazon, where he has been responsible for creating ETL pipelines to consume semi-structured data and processing it using Spark. Shivam is proficient in Azure Services and has extensive experience working with Python, Azure, ETL, MySQL, SQL Server, PySpark, Databricks, and Data Warehousing. Prior to Amazon, Shivam worked as a Data Engineer at Monster India and Tata Consultancy Services, where he gained valuable experience in data engineering and management. He is an open-minded individual who is always eager to take on new challenges and is passionate about using data to drive business decisions. Shivam holds a Bachelor of Technology degree in Computer Science from Sunderdeep College of Management & Technology in Delhi/NCR. He is a dedicated professional with over 2.7 years of relevant experience in the field of Data Engineering. Shivam's technical expertise includes Data Engineering, Azure, SQL, Databricks, Python, ETL, Spark, MySQL, ML, Web, Scikit, Data Warehouse, CI/CD, Big Data, MongoDB, Infra, Keras, Normalization, Deep Learning, Data Scientist, Research Scientist, and Salesforce. Shivam is a data enthusiast who is always looking for new ways to improve his skills and knowledge. He is a team player who enjoys collaborating with others to achieve common goals. Shivam is a highly motivated and dedicated individual who is committed to delivering high-quality work and exceeding expectations.