Lavanya Gunashekara

- Led a global team of over 30 highly skilled engineers in a transformative cloud data initiative, decommissioning legacy data marts and building robust cloud-native solutions resulting in 75% increase in user adoption.

- Managed $20 million in cloud transformations using AWS and GCP, achieving substantial cost savings and scalability improvements.

- Led the development of a comprehensive data analytics and deployment platform, unifying internal and external data sources, which enhanced decision-making efficiency by 40% and streamlined deployment processes

- Oversaw the end-to-end architecture and launch of multi-tenant SaaS solutions on AWS, ensuring scalability, reliability, and security, which improved client satisfaction by 30% and reduced downtime by 40%

- Assessed product requirements and led the adoption of a PaaS model, which accelerated data pipeline development by 50% and enhanced scalability, meeting growing business demands

- Developed technology roadmaps utilizing data-driven insights and market analysis, supporting product teams in delivering high-value features

- Led and facilitated periodic status and risk discussions with stakeholders, resulting in a 15% improvement in project delivery times through the implementation of corrective actions

- Designed and implemented a handshake mechanism between Microsoft Cloud and Oracle ERP systems, enabling real-time communication of error diagnostics from elevator devices, which allowed technicians to resolve issues immediately and enhance service efficiency

- Served as the single point of contact for all middleware integrations between CRM and Eloqua across North and South America, ensuring seamless communication and coordination.

- Developed and implemented solutions to interface CRM applications with external integration systems, such as Eloqua and Oracle CPQ, improving data flow and operational efficiency.

- Led an Agile Scrum Team as Business System analyst and Product Owner for multiple projects
Involved in gathering requirements and assisted Stakeholders in analyzing the data model related to securities
- Responsible for gap analysis of functional flows, provide solution design and demo for the Gaps from standard solution sets as
well customized solutions
- Participated in JAD session, Product review meetings, User Story writing and Scrum meetings
- Involved in User story creation and User story grooming to map system attributes to meet business needs and analyze product
backlog

- Led all phases of the BPM process for the Project Creation Flow, including requirements gathering, design, development, and testing, ensuring seamless project execution and alignment with business objectives.

- Developed comprehensive BPMN process flows, business rules, use cases, and data flow diagrams, providing clear and actionable guidance that streamlined development efforts and improved team efficiency

- Designed and implemented database objects, configured data sources, and set up DB adapters, which optimized database performance and facilitated efficient data retrieval

- Authored detailed functional design documents for the development team, enhancing clarity and reducing miscommunication, leading to a more efficient development cycle

- Analyzed and resolved functional and technical issues related to Oracle Financials (11i/R12) for customers worldwide, improving system reliability and increasing client satisfaction

• Developed interface programs to load vendor data into the supplier interface, streamlining vendor onboarding and data management.
• Created views and packages for the Inventory module used in developing Business Intelligence (BI) reports, enhancing reporting capabilities and data analysis.
• Enabled Electronic Fund Transfer (EFT) between Oracle ERP systems and legacy systems by developing custom payment formats, improving transaction efficiency and reducing processing time.
• Managed data validations and conversions of legacy system data, ensuring data integrity and a seamless migration to new systems.
• Authored comprehensive technical documentation for migrating customizations across multiple instances, facilitating smoother deployments and maintenance.
• Loaded data from flat files into database tables using SQLLoader*, optimizing data import processes and reducing manual effort.