Rajender Radharam
( TATA CONSULTANCY SERVICES LIMITED )
1.Microsoft and Google Certified Cloud Architect with 19+ years of professional experience in Information Technology, delivering large-scale enterprise data and cloud transformation solutions for globally recognized organizations.
2.Extensive cross-industry experience across Telecommunications, Insurance, Healthcare, and Life Sciences, with deep expertise in Enterprise Data Warehousing, Big Data platforms, and modern Cloud and AI ecosystems.
3.Strong technical expertise in database architecture, data engineering, and advanced data processing, including the management of structured, semi-structured, and unstructured datasets using platforms such as Netezza, Hadoop, and cloud-native data platforms.
4.Successfully architected and led the migration of more than 90 enterprise applications from on-premises environments to cloud platforms (Microsoft Azure and Google Cloud Platform), enabling scalable Enterprise Data Warehouse (EDW) and advanced analytics ecosystems.
6.Demonstrated leadership in enterprise cloud transformation initiatives, including the design of secure and scalable cloud architectures and the optimization of large-scale data pipelines across Azure and GCP environments.
7.Proficient in implementing Infrastructure as Code (IaC) methodologies using Terraform and Azure ARM templates, enabling automated provisioning, governance, and deployment of cloud infrastructure aligned with enterprise security and compliance standards.
8.Extensive experience within the Microsoft Azure ecosystem, including services such as Azure Data Lake, Azure Databricks, Azure Data Factory, and Azure Event Hub, supporting high-performance data ingestion, processing, and analytics workflows.
9.Hands-on experience in provisioning and managing Azure infrastructure resources including Virtual Machines, Containers, Blob Storage, Azure Hyperscale services, Key Vault, App Services, Azure Security Policies, and Traffic Manager, using automated deployment frameworks.
10.Strong expertise in the Google Cloud Platform ecosystem, including BigQuery, Cloud Functions, and integration with DBT (Data Build Tool) for advanced data modeling and analytics pipelines.
11.Proven ability to design, implement, and optimize cloud-based data platforms that support enterprise analytics, real-time data processing, and data-driven decision-making.
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ITI 2026 | NIT Agartala, India | Nov 13-14, 2026 | SCOPUS-indexed