Summary
Srikanth Roopa is a Staff Data & ML Platform Engineer with 13 years of experience building cloud-native, scalable data platforms and ML pipelines across GCP, AWS, Databricks and Snowflake. He combines deep hands-on skills in Python, BigQuery, Spark, Airflow and Kubernetes with strong data modelling and engineering best practices (DBT, CI/CD, IaC) to deliver production-grade, cost-optimized data products. His recent work spans integrating LLMs into data products, designing real-time and batch ingestion at scale, and reducing cloud costs and pipeline latency through serverless and orchestration redesigns. A Google-certified Cloud and Data Engineer, he pairs engineering leadership—mentoring teams and driving dataops—with a pragmatic focus on data quality, observability and business-facing BI. Notably, he has repeatedly improved pipeline reliability and cost efficiency (examples include 90% cost reductions and 99.8% uptime) while shipping analytics and ML features that accelerate decision-making.
13 years of coding experience
14 years of employment as a software developer
BE, Electrical and Electronics, BE, Electrical and Electronics at RNS Institute of Technology - India