Ramya C

About Ramya C

I am a Senior Data Engineer with 9+ years of experience designing and delivering scalable data platforms on Azure, Databricks, and the modern Lakehouse ecosystem. My work spans architecting end-to-end ETL/ELT pipelines, building real-time streaming solutions, and developing high-performance batch pipelines using PySpark, Spark SQL, Azure Data Factory, Synapse, and Delta Lake. I specialize in creating governed, secure, and cost-optimized data environments supported by Infrastructure as Code (Terraform/Bicep), CI/CD automation in Azure DevOps/GitHub, and enterprise-grade designs using Medallion Architecture and Microsoft Fabric. I bring deep expertise in data governance with Microsoft Purview, dimensional modeling, performance tuning, metadata-driven frameworks, and integrating diverse data sources across cloud, streaming, and legacy systems. My focus is on building reliable, AI-ready data platforms that enable analytics, reporting, and business insights at enterprise scale. I enjoy mentoring teams, driving data engineering best practices, and collaborating with business and technical stakeholders to deliver impactful, modern data solutions.Lead the design and implementation of scalable AWS based cloud solutions, leveraging services such as EC2, S3, Lambda and CloudFormation to build secure and highly available data platforms.Drive enterprise data architecture and governance initiatives using Microsoft Fabric and Microsoft Purview, enabling scalable lakehouse solutions, data cataloging, lineage and compliance across the organization.Define technical standards, architecture patterns and best practices while collaborating with business stakeholders to deliver data solutions aligned with strategic objectives.

Experience

1. Senior Data Engineer

   EY

   Jan 2025 — Present · Dallas, TX, US

Education

• Jawaharlal Nehru Technological University

  Bachelor's degree, Electronics and communication Engineering