About

Deepak Kumar is a skilled data engineer with over 2.86 years of experience in the field. He is currently working as a Data Engineer at Tata Consultancy Services, where he specializes in the design and modeling of data warehouses. Deepak has a strong background in data engineering and has worked on various projects involving Data Vault 2.0, SMILE, and batch data ingestion. Deepak's expertise lies in designing and modeling data warehouses, where he has interacted with different business users to understand their use cases, ingestion tables, PII data, and built data models using Data Vault 2.0. He has also modeled data from different sources following Data Vault 2.0 standards. Deepak is well-versed in creating generic ETL pipelines for data ingestion processes in Snowflake Cloud data warehouses. He has developed multiple Python scripts for different load types like Full Load, incremental & table type like HUB, LNK, and parallelized the process with Ubuntu Ninja Build. Deepak has experience working with a variety of technologies, including Python3, Pyspark, SQL, Ninja Build, Pandas, Snowflake, Azure DevOps, and Git. He has also worked on migrating on-prem applications to AWS using serverless architecture and AWS services like AWS ECR, S3, Batch, and CloudFormation. Deepak holds a Bachelor of Technology degree in Computer Science from the Institute of Engineering and Management, where he graduated in 2020. He is a quick learner and a team player who is always willing to take on new challenges and learn new skills. With his strong technical skills and experience in data engineering, Deepak is a valuable asset to any organization looking to improve their data infrastructure.