Rajasimman T.

Senior Data Engineer | Cloud Data Platforms | AWS | Azure | Databricks

I design, build, and modernize cloud data platforms that are scalable, reliable, and built for business growth. From modernizing legacy ETL/ELT pipelines to implementing enterprise data warehouses, Lakehouse architectures, and real-time data solutions, I deliver production-ready platforms across Snowflake, Databricks, AWS, Azure, and modern data ecosystems. With over 7 years of experience in Data Engineering, I have designed and delivered modern data solutions for startups, scale-ups, and enterprise organizations. My expertise spans the complete data engineering lifecycle—from architecture and platform design to implementation, optimization, cloud migration, and production support—building reliable data foundations for analytics, automation, and AI initiatives. 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 • Cloud Data Platform Architecture • Data Engineering & ETL/ELT Development • Snowflake & Databricks Implementation • Data Warehousing & Lakehouse Architecture • AWS & Azure Data Solutions • Data Migration & Modernization • Real-Time Data Streaming • Analytics Engineering & Business Intelligence 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 • Cloud Platforms AWS | Microsoft Azure | Google Cloud Platform (GCP) • Modern Data Platforms Snowflake | Databricks | Amazon Redshift | BigQuery • Data Engineering Python | SQL | PySpark | Apache Airflow | Apache Kafka | AWS Glue | Azure Data Factory • Infrastructure & DevOps Docker | Kubernetes | Terraform | CI/CD • Analytics & Visualization Power BI | Tableau 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸 • Understand business objectives before designing the technical solution. • Architect scalable, maintainable, and production-ready data platforms. • Follow engineering best practices with clean, well-documented, and maintainable implementations. • Maintain clear communication, proactive ownership, and reliable delivery throughout the engagement. 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀 ✔ Reduced enterprise ETL processing time by 60% through pipeline optimization. ✔ Designed and implemented scalable cloud data platforms supporting enterprise analytics and reporting. ✔ Modernized legacy data environments to improve reliability, scalability, and operational efficiency. ✔ Automated complex data workflows, improving data quality and reducing manual effort. ✔ Delivered secure, production-ready solutions with comprehensive documentation and seamless knowledge transfer. Organizations investing in modern data platforms require solutions that remain reliable as data volumes, users, and business demands grow. My focus is on delivering robust engineering, practical architecture, and long-term value through scalable, production-ready data platforms. If you're looking for a consultant to architect, build, or modernize your cloud data platform, I'd be glad to discuss your requirements.