KAUSHIK KUMAR

Results-driven Data Engineer with over 9 years of IT experience, including 6+ years focused on building cloud-native data engineering solutions in Azure environments. I specialize in architecting scalable data pipelines, designing modern Lakehouse architectures, and driving end-to-end data transformation that fuels real business value. My expertise lies in combining distributed processing frameworks with cloud services to build robust batch and streaming pipelines. I've led multiple initiatives involving large-scale ingestion, transformation, and governance of enterprise data assets using modern ELT approaches and modular design patterns. Recent engagements include implementing automated data quality layers, federated data access across cloud sources, and optimizing large-scale ingestion flows using real-time triggers. I’ve also worked on secure access management and fine-grained catalog-level controls to support cross-functional data teams while maintaining governance. Well-versed in integrating orchestration workflows with cloud-native tools, implementing CI/CD for notebooks and pipelines, and performance tuning distributed jobs at scale. I’ve also supported model lifecycle tracking and real-time inference pipelines across various ML use cases. I am passionate about simplifying complexity, creating reusable components, and designing future-ready data platforms that support analytics, reporting, and machine learning needs. Whether it’s modernizing legacy systems or building greenfield architectures, I aim to deliver clean, secure, and high-performing data solutions that scale. Let’s connect if you're building something meaningful with data—or just want to talk architecture, cloud, or modern engineering patterns.