Sree Sai Charan Kammili

• Data Engineer with over 4.5 years of hands-on experience designing, building, and maintaining robust data pipelines, data lakes, and cloud-native architecture for large-scale analytics. • Specializing in building ELT/ETL frameworks using Databricks, DBT, Apache Spark, and Python. • Strong expertise in Snowflake optimization, including Secure Data Sharing, Snowpipe, clustering, and performance tuning. • Hands-on experience with MLOps workflows, ML model development, and deployment using Azure ML, Vertex AI, and MLflow. • Built scalable, real-time streaming pipelines using Kafka, Flink, and Spark Streaming for anomaly detection and operational intelligence. • Skilled in developing modular, testable, and version-controlled transformation logic with DBT and GitHub Actions. • Proficient in implementing end-to-end monitoring using Grafana, Prometheus, Azure Monitor, Datadog, and AWS CloudWatch. • Deep understanding of compliance and governance standards, including HIPAA, SOX, GDPR, CCPA, and PCI-DSS. • Delivered performance optimization on SQL queries, PySpark jobs, and pipeline orchestration workflows using Airflow and ADF. • Experienced in orchestrating hybrid cloud infrastructure (AWS, Azure, GCP) using Terraform, Docker, and Kubernetes. • Integrated enterprise-grade BI tools including Power BI, Tableau, and Looker for real-time analytics and reporting. • Adept at data modeling, lineage tracking, and metadata management using Apache Atlas, Iceberg, and Great Expectations.