Sanjana Kondareddy

Senior Data Engineer with 8+ years of hands-on experience architecting end-to-end data ecosystems — from raw ingestion to analytics-ready Lakehouse layers — across healthcare, banking, and insurance verticals. Built and scaled production platforms on Azure (Synapse, ADLS Gen2, ADF, Databricks, Purview), GCP (Big Query, Dataflow, Pub/Sub), and AWS (Redshift, Glue, EMR, S3, Lambda), delivering measurable outcomes: 35% faster analytics turnaround, 40% query performance gains, and 30% reduction in processing latency. Deep expertise in real-time streaming architectures (Kafka, Event Hubs, Spark Structured Streaming), modern Lakehouse patterns using Delta Lake, Apache Iceberg, and Medallion Architecture, and transformation frameworks built on dbt and PySpark at scale. Proven delivery of containerized data platforms (Docker, Kubernetes), MLOps pipelines (Azure ML, MLflow, Feature Stores), and full-stack data governance (RBAC, HIPAA, GDPR, PCI- DSS). Strong communicator and cross-functional collaborator with a track record of leading cloud migrations, mentoring engineering teams, and translating ambiguous business requirements into production-grade data solutions.