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Pipelines either run silently or they run your team. We build cloud data engineering practices that move fast, fail loudly and recover automatically.
Pipelines either run silently or they run your team. We build cloud data engineering practices that move fast, fail loudly and recover automatically.
Batch, micro-batch and streaming patterns selected per data product. Idempotent by default, observable by construction.
Push transformation to where the data lives. dbt, Spark and SQL-first patterns over hand-rolled Python where possible.
Version control, code review, automated testing, CI/CD. Software-engineering rigor applied to data.
Kafka, Event Hubs and stream processing for real-time analytics, IoT telemetry and event-driven architectures.
Built live-streaming call-center reporting using ADX and Grafana. Defined streaming metrics, optimized refresh performance, migrated Power BI to Grafana.
Developed DWH structures in Azure Synapse, expanded Azure DevOps pipelines for CI/CD, integrated multiple ERPs.
Web-scraped pricing data from Amazon, MediaMarkt and Otto. Automated Python scripts with CI/CD pipelines.
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