
Technical consultant with cross-domain strengths across cloud engineering, backend services, and data pipeline fundamentals. Builds automated ingestion workflows, normalizes multi-source datasets into queryable models, and exposes reliable data through APIs for analysis and decision support. Experienced working across AWS, Azure, and GCP with strong focus on practical automation, data quality, and operational visibility. Currently expanding hands-on exposure in PySpark and Microsoft Fabric.
Engineering fundamentals Automation with Python API integration and services Container management with Docker Microservices architecture in Nodejs Version control using Git
ETL principles and schema design Data integrity verification Consistent data ingestion methods
Database management Data integrity checks Analytical techniques
CloudWatch monitoring skills Observability across platforms
Amazon Web Services expertise Azure and GCP familiarity Cloud cost analysis and forecasting Service utilization tracking
PySpark DataFrame manipulation Microsoft Fabric orchestration techniques Lakehouse architecture workflows