Data Engineering
Secure ingestion, realtime and batch processing, and warehousing/lake integration so analytics and ML teams can rely on trustworthy datasets.
Secure Data Ingestion
Authentication, transport selection, validation, and buffering patterns to reliably collect telemetry and events.
Stream & Batch Processing
Low-latency transforms, windowing, stateful processing, and batch ETL for analytics and feature pipelines.
Data Warehousing & Lake Integration
Zone design, modeling, governance, and operationalization for enterprise analytics and BI.
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