Adarsh Basantwani

Project: Unified Data Platform – AI-Driven Business Insights

(Enterprise-grade data platform built at LivePerson India Pvt. Ltd. to unify fragmented financial, HR, and product data silos and enable real-time, AI-powered analytics for leadership decision-making.)

• Architected and led backend development of a cloud-based Unified Data Platform consolidating finance, HR, and product data silos.
• Designed end-to-end ETL pipelines with Apache Airflow, automating data ingestion, transformation, and validation.
• Built a central Snowflake warehouse delivering 99.9 % data availability and high-performance analytics.
• Integrated OpenAI APIs and Snowflake Cortex Analyst to deliver AI-powered contextual insights from curated datasets.
• Delivered a NestJS backend and React frontend, supported by PostgreSQL and MongoDB, enabling real-time data delivery.
• Resolved data inconsistency and latency via schema normalization and incremental loading, reducing analytics latency by 40 %.
• Empowered leadership with real-time decision dashboards, replacing manual, multi-day reporting workflows.
• Strengthened expertise in AI integration, scalable data architecture, and cross-functional collaboration.

Additional Contributions

• Engineered APIs unifying financial and HR data, reducing reporting latency by 70 %.
• Built React.js dashboards improving forecast accuracy by 25 % and saving 15 + hours/week.
• Designed RBAC and compliance frameworks ensuring financial data security.
• Implemented ML-based forecasting for salary and attrition prediction.
• Led CI/CD modernization, enhancing release reliability and observability.

Tech Stack: React, NestJS, Python, Java, GoLang, PostgreSQL, MongoDB, Snowflake, Airflow, AWS

Project: Cloudamize – Cloud Migration Analytics Platform
(A cloud assessment product that analyzes on-premises infrastructure and provides migration and cost-optimization insights for AWS environments.)

• Delivered 10+ cloud analytics modules, improving system performance by 20% and accelerating migration analysis.
• Automated cloud cost-optimization and application modernization workflows, reducing manual intervention and ensuring consistency across client assessments.
• Enhanced DevOps delivery pipelines, achieving 40% faster deployments through Docker containerization and CI/CD automation.
• Developed data automation flows that eliminated 10+ hours/week of manual ETL work, improving data reliability and refresh accuracy.
• Mentored junior engineers and led Agile sprints, improving code quality and delivery velocity by 30%.

Tech Stack: Vue.js, Node.js, Python, Java, GoLang, PostgreSQL, AWS, Docker, Terraform

Project: Full-Stack Development & DevOps Automation – U.S.-based Client
(A platform to streamline accreditation and CI/CD processes for enterprise customers, combining Angular-based frontend with automated build and deployment workflows.)

• Designed and developed modular Angular UI components, improving frontend performance and reusability by 30 %.
• Implemented Python-based backend scripts and APIs to automate DevOps workflows and data validation routines.
• Built “one-click” CI/CD automation tools, integrating JIRA, Jenkins, Bamboo, Nexus, and SonarQube, cutting release time by 40 %.
• Streamlined build tracking and audit compliance, ensuring end-to-end traceability and regulatory adherence.
• Collaborated with U.S.-based engineering and QA teams to align automation features with client infrastructure and release processes.

Tech Stack: Angular, Java, Python, Jenkins, Bamboo, Git, SonarQube, Nexus, Shell Scripting