Hi, I’m Lohit Inguva 👋
I’m a Cloud and Data Engineering professional with over 9 years of experience designing and delivering scalable, cloud-native data platforms. My expertise spans across AWS, Databricks, SAP Data Intelligence, and modern data pipelines that enable advanced analytics, improve performance, and drive cost efficiencies.
I’ve successfully led projects involving data warehouse modernization, automated quality frameworks, and real-time data pipelines — helping teams shift from legacy infrastructure to modern, high-performing cloud ecosystems. I enjoy problem solving, working cross-functionally, and mentoring junior engineers.
Outside work, I’m a passionate about cricket, F1 enthusiast, and love exploring the outdoors with my family.
Consulting directly with Nike through my own company. Leading large-scale data engineering and modernization initiatives across AWS, Databricks, SAP Data Intelligence, and Redshift. Focused on automation, performance optimization, and building scalable, cloud-native data platforms.
Enhanced SAP process chain performance by 50% by optimizing ABAP code for financial reporting.Reduced ETL processing times by 30% and data latency by over 50% through SAP SLT configuration and load optimization.Executed SAP BW model redesign, accelerating financial report delivery by 35%.Led a system upgrade that improved overall stability and UX by 20%.Delivered training programs that improved SAP feature adoption by 40%.Ensured system reliability via change ticket management and rigorous QA testing.
Campbellsville University — Focused on IT strategy, cloud infrastructure, and systems management.
University at Buffalo (SUNY) — Specialized in data systems, embedded software, and computing infrastructure.