Result-driven Data Engineer & Cloud Data Architect with 10+ years experience across the full data engineering lifecycle, ingestion, streaming, batch, storage, modeling governance, and analytics. Proven in designing, building, and scaling production-grade data platforms on AWS (S3, EC2, IAM, Kinesis, CloudWatch), Azure, and GCP, including lakehouse, real-time, and enterprise warehouse architectures. Hands-on across Snowflake, Databricks, Spark, Kafka, Airflow, dbt, Terraform, and Kubernetes, with deep expertise in security, observability, and cost optimization. Trusted to lead complex projects, mentor teams, and deliver reliable, governed, high-performance data systems, solving the problems before they arise.
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