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As part of Cloud readiness and discovery/assessment, involved in identifying existing landscape, dependencies, and readiness
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Performed workload profiling and dependency mapping to assess cloud migration feasibility
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Evaluated performance baselines, licensing, and TCO for target cloud platforms
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Delivered assessment reports with right-sizing recommendations and modernization opportunities
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Designed scalable and secure cloud-native database architectures (e.g., Amazon RDS/Aurora, AzureSQL etc)
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Defined hybrid and multi-cloud strategies involving data replication, failover, and HA/DR
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Selected appropriate cloud storage, backup, and networking solutions aligned with database requirements
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Created detailed migration blueprints including schema conversion, downtime planning, and rollback strategies
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Led end-to-end migration of critical production databases with minimal downtime using native cloud tools (AWS DMS, Azure Database Migration Service, etc.)
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Migrated large-scale OLTP and OLAP workloads to cloud platforms with data validation and performance testing
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Performed heterogeneous and homogeneous migrations
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Automated migration workflows using scripting and Infrastructure-as-Code (IaC) tools
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Coordinated application/database cutover activities with stakeholders to ensure successful go-live
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Served as SME for cloud database migrations across multiple cross-functional projects
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Collaborated with app teams, infra, networking, and business users to align migration timelines and dependencies
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Led migration workshops and knowledge transfer sessions with client teams and junior engineers
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Involved in the project related to AWS outposts infrastructure including discovery, assessment and migration of on-premises workloads to AWS outposts
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Migrated SQL and Oracle databases from on-premises to AWS outposts
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Designed and Implemented Data Lakehouse architecture on AWS outposts without using native AWS regional services due to data sovereignty requirements