Anudeep Katangoori

Onboarded 12 LOBs into support model; set up DistCp pipelines to migrate data from HDP to CDP and then to GCP. Migrated legacy on-prem predictive analytics to Vertex AI Pipelines and deployed Vertex AI Endpoints for real-time predictions with integrated monitoring. Led migration to cloud-native architectures, enabling cost savings and performance improvements; built dashboards for monitoring healthcare and population health analytics.

Designed Data Lakehouse solutions integrating BigQuery, Cloud Storage, and Dataproc for scalable AI/ML workloads in GCP. Led migration from on-prem to GCP, optimizing workloads across BigQuery, Cloud Storage, and Pub/Sub while reducing operational costs. Implemented network security architecture (VPC Service Controls, Private Google Access, Google Cloud Armor), cost monitoring dashboards, and IAM integration. Optimized Spark jobs and Azure Databricks workflows; mentored team on ELK logging and governance with Atlas and Ranger for data masking.

Led 3 Hadoop Admins; on-boarding of applications on Hadoop; capacity planning; implemented HA for YARN, Ranger, and Kerberos; automated Hive stats for query performance; supported BI tools (Talend, Kyvos) and metadata masking with Atlas/Ranger; led AWS POC/DR initiatives and HDP upgrades; designed 12-node disaster recovery cluster on AWS.