Rajdeep Das
About Rajdeep Das
Rajdeep Das is a Senior Data Architect with extensive experience in data modeling and business intelligence solutions. He has worked with various technologies and platforms, including Azure, and has a background in Computer Engineering from West Bengal University of Technology.
Current Role at TransDigm Group Inc.
Rajdeep Das serves as a Senior Data Architect at TransDigm Group Inc. since 2018. In this role, he focuses on designing and implementing enterprise data architecture, including data warehouses and OLTP systems. He has developed business intelligence solutions utilizing Azure Data Lake Storage, Azure Synapse, Azure Data Factory, and PowerBI. His responsibilities also include processing large datasets for predictive analysis using Azure Databricks with Python and Spark SQL. Rajdeep has built a CI/CD pipeline on Azure DevOps to enhance deployment efficiency and has monitored vendor performance to ensure compliance with contractual obligations.
Previous Experience at CGI and Tech Mahindra
Before joining TransDigm, Rajdeep worked at CGI as a Data Engineer from 2015 to 2018 in Bengaluru, Karnataka, India. His role involved designing and developing business intelligence solutions and migrating on-premise data to Azure Cloud. Prior to CGI, he was a Senior Software Engineer at Tech Mahindra from 2010 to 2013 in Hyderabad Area, India. His experience in these positions contributed to his expertise in data architecture and engineering.
Consulting Experience at Deloitte India
Rajdeep Das worked as a Consultant at Deloitte India (Offices of the US) from 2013 to 2015 in Hyderabad, India. In this capacity, he provided consulting services that likely involved data analysis and project management. His time at Deloitte helped him develop strategic plans for risk avoidance and mitigation, aligning projects with organizational objectives.
Educational Background in Computer Engineering
Rajdeep completed his Bachelor of Technology (BTech) in Computer Engineering at West Bengal University of Technology from 2005 to 2009. This four-year program provided him with foundational knowledge and skills in computer science and engineering, which he has applied throughout his career in data architecture and engineering.
Technical Skills and Expertise
Rajdeep Das has demonstrated expertise in various technical areas, including data modeling using Erwin, both Entity-Relationship and Dimensional modeling. He has experience with Azure technologies, including Azure Data Lake Storage, Azure Synapse, Azure Data Factory, and Azure Stream Analytics. His proficiency in processing large datasets and building CI/CD pipelines on Azure DevOps highlights his technical capabilities in data architecture and engineering.