Summary
Chandrahaas K is a data engineer with a decade of experience building scalable, cloud-native data platforms across AWS, Azure, and GCP, currently delivering solutions at Charles Schwab. He specializes in automated end-to-end pipelines, real-time and batch processing with Spark, Kafka, and orchestration tools (Glue, ADF, Dataflow), and has optimized multi-terabyte Spark jobs to cut processing time by 40%. Experienced in data lake and warehouse architectures (Snowflake, Redshift, Synapse) and production ML deployments with SageMaker and BigQuery ML, he also built forecasting systems achieving 92% accuracy. He has a strong automation mindset—CI/CD with Docker and Kubernetes reduced deployment cycles by 30%—and pairs technical rigor with business-focused dashboards in Tableau, Power BI, and Looker. Based in McKinney, Texas, he brings a pragmatic approach to cost-effective, high-performance systems and a consistent track record of turning complex data needs into trusted, production-ready platforms.
9 years of coding experience
6 years of employment as a software developer