Lavanya Srinivas

Built and optimized real-time data pipelines using Kafka and Google BigQuery, processing over 10M+ events/day with reduced query latency by 40%. Migrated 60+ ingestion pipelines using GCP Storage API and sink connectors, enabling scalable, low-latency data access. Developed backend services in Kotlin and Java, applying microservice design principles and asynchronous data handling. Conducted SQL-based analysis on large transaction datasets;

Administered Salesforce CRM, overseeing user workflows, access control, and reporting to support sales and service teams. Collaborated with cross-functional teams to develop customized IoT solutions, improving client adoption and satisfaction. Created business and technical documentation tailored for C-level stakeholders, contributing to informed decision-making and strategic buy-in.

Designed cloud-native architectures using AWS, Azure, and GCP to meet client-specific scalability and cost-efficiency goals. Responded to RFPs and RFIs by aligning technical solutions with business needs Delivered technical diagrams, solution proposals, and presentations Created deployment workflows using Docker and Kubernetes, enabling efficient CI/CD delivery pipelines and containerized infrastructure. Collaborated closely with technical consultants, sales teams, and solution architects

Designed and executed infrastructure solutions, showcasing expertise in storage technologies. Leveraged Python and PowerShell for automation, optimizing performance. Collaborated closely with sales teams to translate complex customer requirements into technically sound proposals, utilizing programming expertise to ensure solutions aligned perfectly with client needs and industry standards.

Focus on AI and Big Data