Sruthi Erra Hareram is a data engineer specializing in big-data platforms, real-time analytics, ML workflows, and cloud-native architecture (GCP/Azure/AWS, Spark/Databricks, Kafka, BigQuery, Airflow). At TELUS, she built near-real-time telemetry for 100k+ devices and reduced support escalations by ~25%. At Nova Chemicals, she architected services handling 1M+ API/day at 99.9% uptime and improved PySpark performance ~40%, cutting a text-analytics job from 5h to 1h. She led sub-second compliance analytics over 100TB/month at DNB and delivered AWS-based campaign analytics at Fox that improved decision accuracy ~20%. Sruthi publishes peer-reviewed work (IEEE), reviews for conferences, and speaks on production-grade AI. Her work focuses on measurable impact, reproducibility, and responsible operations for industrial-scale data systems.
AI & Data Science Leader of the Year Award
AI & Data Science Leader of the Year Award
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