Kashish Gakkar
Solutions Architect at Microsoft - Working on Pre-Sales | Azure | Fabric | Data Engineering Solutions
- Role
- Solutions Architect at Microsoft
- Location
- West Delhi, DL, IN
- LinkedIn followers
- 500 followers
About Kashish Gakkar
Working as an Data Architect at Microsoft.Responsibilities includes:π§© Architecting End-to-End Data Solutions: Designing modern data platforms using Azure Data Services, Synapse, Databricks, and Power BI to support analytics, AI, and business intelligence. Driving Global Delivery Excellence: Collaborating with cross-functional teams across geographies to ensure consistent, high-quality solution delivery. Ensuring Data Governance & Security: Embedding compliance, privacy, and security best practices into every data architecture. Accelerating Cloud Adoption: Leading data modernization and migration initiatives from legacy systems to Azure-based architectures.π€ Customer Engagement & Advisory: Acting as a trusted advisor to enterprise clients, translating business needs into technical solutions that drive measurable outcomes. Promoting Reusability & Innovation: Developing reusable frameworks, accelerators, and reference architectures to streamline delivery and foster innovation. Enabling AI & Advanced Analytics: Supporting AI/ML workloads by architecting data pipelines and platforms that enable real-time insights and predictive analytics.π§ Continuous Learning & Mentorship: Staying ahead of emerging technologies while mentoring teams and contributing to internal knowledge communities.
Experience
Solutions Architect
May 2025 β Present Β· Noida, IN
Architecting End-to-End Data Solutions: Designing modern data platforms using Azure Data Services, Synapse, Databricks, and Power BI to support analytics, AI, and business intelligence. Driving Global Delivery Excellence: Collaborating with cross-functional teams across geographies to ensure consistent, high-quality solution delivery. Ensuring Data Governance & Security: Embedding compliance, privacy, and security best practices into every data architecture. Accelerating Cloud Adoption: Leading data modernization and migration initiatives from legacy systems to Azure-based architectures.π€ Customer Engagement & Advisory: Acting as a trusted advisor to enterprise clients, translating business needs into technical solutions that drive measurable outcomes. Promoting Reusability & Innovation: Developing reusable frameworks, accelerators, and reference architectures to streamline delivery and foster innovation. Enabling AI & Advanced Analytics: Supporting AI/ML workloads by architecting data pipelines and platforms that enable real-time insights and predictive analytics.π§ Continuous Learning & Mentorship: Staying ahead of emerging technologies while mentoring teams and contributing to internal knowledge communities.
Education
Indraprastha University
Bachelor of Computer Applications, Computer Science
2010 β 2013
Birla Institute of Technology and Science, Pilani
Master of Science - MS, Business Analytics
2019 β 2021
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