Nischinth Reddy

I’m a Data Engineer with 2.5+ years of experience designing and building cloud-native data platforms, with a focus on lakehouse architecture, real-time streaming, and distributed data systems. I enjoy turning complex data flows into reliable, automated pipelines that teams can trust.

In my current role as a Cloud & Data Engineer (Metro GSC Pune, India), I’ve designed scalable batch and real-time pipelines on GCP and Azure using Python, SQL, and PySpark. I also built metadata-driven ingestion frameworks and automated CI/CD and Infrastructure as Code solutions using GitHub Actions and Terraform to improve deployment reliability and operational efficiency.

I’ve delivered end-to-end analytics capabilities for enterprise reporting—integrating SAP and invoice data for financial and procurement reporting, and implementing AI-powered supplier harmonization and translation pipelines using Vertex AI and Gemini. The result has been better supplier standardization, improved data quality, and faster reporting workflows.

Earlier, as a Data Engineer | Application Developer (BNP Paribas Chennai, India), I designed data-intensive microservices and engineered scalable processing and transformation solutions using event-driven architectures with Apache Kafka. I focus on robust validation, performance optimization, and disciplined version control to keep data availability high and systems dependable.