I am a senior data engineer with 9+ years of experience in designing, building, and optimizing large-scale cloud-native data platforms and lakehouse architectures on Azure, AWS, and Snowflake. I have hands-on expertise in Azure Data Factory, Databricks, Apache Spark, SQL, and dbt, delivering analytics-ready data sets processing 5+ TB of data per day, consistently achieving 90%+ data availability SLAs.
I excel at developing batch, incremental, and real-time streaming pipelines, optimizing Spark and Snowflake workloads, and implementing automated data quality, governance, and security controls. I have supported business intelligence, predictive analytics, and AI/ML initiatives, with a strong focus on cloud-native, compliant, and scalable data infrastructure.
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