About

Shivam Goyal is a Senior Data Engineer with over 11 years of relevant experience in Data Engineering, Business Intelligence, ETL, Data Modelling, and Data Analysis. He is currently working as a Senior Software Engineer at Myntra, where he develops cloud-based solutions using Microsoft Azure, Amazon Web Services, and Snowflake to solve problems related to Big Data, Visualizations, Security, Analytics, Compute, and Storage. He is responsible for building data pipelines that generate structured data and load it into data warehouses such as Pentaho and SSIS. Shivam has built several automation scripts that have reduced human efforts and project costs by up to 90%. Shivam is proficient in SQL databases such as PostgreSQL, MySQL, and SQL Server. He is responsible for the full life cycle development process, from design to development, unit testing, bug fixing, release, documentation, and maintenance of applications. He has a good understanding of maintaining version control systems such as GIT, Jenkins, and JIRA. Shivam has experience working with scheduling tools like Apache Airflow and Azkaban. In his previous roles, Shivam worked as a Team Lead at Indecomm Global Services and as a Senior Software Engineer at Mindtree. At Indecomm Global Services, he extracted data from various sources, created numerous complex queries, provided permanent fixes for recurring issues, and automated many old Excel reports by migrating them into SSIS and QlikView. At Mindtree, Shivam worked as a team lead, handled a team of six members, and was involved in the automation of reports using SSIS and SSRS. Shivam has a Bachelor's degree in Computer Science from ITM and a Senior Secondary degree in Mathematics from Miss Hill School Gwalior. He has a strong tech stack that includes SQL, Software Engineering, Data Engineering, ETL, AWS, Data Warehouse, Azure, Snowflake, Apache Airflow, Big Data, MySQL, Jenkins, and Web. Shivam is a highly skilled and experienced data engineer who has made significant contributions to the development of cloud-based solutions and automation scripts.