Chandra Sekhar Josyula

Core Competencies: ➢ Project & Program Management: Proven track record in managing large-scale data and cloud transformation projects, using Agile, Scrum, and Waterfall methodologies to ensure on-time, within-budget delivery. ➢ Technical Delivery Oversight: Hands-on leadership in designing, developing, and deploying enterprise data platforms leveraging AWS, Azure, SQL Server, Denodo, MSBI, and modern ETL tools. ➢ Cloud Data Migration & Integration: Expertise in managing data migration and modernization projects involving structured and unstructured data, minimizing downtime and ensuring data integrity. ➢ Stakeholder Management: Strong communicator adept at bridging technical and business teams, gathering requirements, aligning priorities, and ensuring stakeholder satisfaction. ➢ Analytics & BI Enablement: Delivering actionable insights through Power BI, Tableau, and advanced analytics techniques, enabling informed, data- driven decision-making. Achievements ➢ Led successful migration of 2TB+ of on-premise structured data to Snowflake and Azure Databricks, optimizing compute and storage costs by 35% and ensuring minimal business disruption (<4 hours downtime). ➢ Designed and delivered a scalable data Lakehouse architecture using Databricks on Azure, supporting real-time analytics and batch processing for multi-domain use cases across Finance and Operations. ➢ Accelerated data processing by 60% by implementing Spark-based ETL pipelines in Databricks, replacing legacy SSIS and Informatica workflows for improved performance and maintainability. ➢ Built a unified reporting layer on top of Snowflake, enabling self-service analytics with Power BI and reducing dependency on IT teams for report generation by over 50%. ➢ Managed a $3M+ cloud modernization program involving Snowflake, Databricks, and Azure Data Factory; delivered all phases on time and under budget through rigorous project governance. ➢ Implemented automated data quality and monitoring frameworks using Delta Live Tables and Snowflake tasks, improving data reliability and trust across business units. ➢ Established CI/CD pipelines for Snowflake and Databricks using GitHub Actions and Azure DevOps, reducing deployment cycle times by 70% and ensuring release consistency. Trained and mentored 25+ team members on Databricks notebooks, Snowflake best practices, and data engineering standards, upskilling the delivery team and reducing onboarding time