A certified Data Architect and Engineer with over 12 years of experience, including six years building and modernizing cloud-native, scalable data platforms and pipelines. I have designed and delivered robust ETL/ELT workflows, real-time streaming systems, and large-scale data lakes on AWS, Azure, Databricks, and Snowflake—leveraging tools like Glue, Redshift, Kafka, Spark, and Airflow. I’ve led end-to-end cloud migration and modernization projects using Infrastructure-as-Code (Terraform, CloudFormation) and CI/CD pipelines (GitHub Actions, Jenkins, AWS CodePipeline), ensuring reproducibility, security, and cost efficiency. My expertise spans relational and NoSQL databases (Oracle, PostgreSQL, MySQL, DynamoDB) with automated validation and optimized OLTP/OLAP data models. I recently integrated Generative AI and vector databases into data pipelines to enrich data and drive AI-powered insights, using RAG techniques and industry-leading cloud-native monitoring and security tools. Known for aligning technical roadmaps with business goals, I mentor teams, lead design reviews, and take full ownership from solution design through deployment to deliver resilient, future-proof systems.