AWS Expertise & Technology Stack

High-frequency sensor pipelines with MQTT topics, device shadows, and rules engine routing

Multi-tier storage with lifecycle policies, Parquet optimization, and cross-account access controls

PySpark jobs for cleansing, transformation, and schema management across structured and semi-structured data

On-demand querying over partitioned data lake — no infrastructure to manage, pay per query

End-to-end ML lifecycle: training, tuning, and deploying anomaly detection and forecasting models

SPICE-accelerated dashboards with RLS, embedded analytics, and role-based publishing

Natural language interface enabling stakeholders to ask questions and receive visual answers instantly

Real-time anomaly alerts, pipeline orchestration, and event-driven automation for operational response