

Data Engineer with 9+ years of experience designing and delivering scalable cloud data platforms across Snowflake, AWS and modern ETL frameworks. Proven track record in building high-volume data pipelines (terabyte+ scale processing) and integrating 10+ diverse enterprise data sources to enable analytics, reporting and data-driven insights. Skilled at SQL optimization, Python development and data pipeline architecture with a focus on cost efficiency (25% Snowflake savings achieved). Experienced in leading teams ,stakeholder alignment , mentoring engineers and driving business impact through data.
Cloud Data Platforms: Snowflake, AWS (S3, RDS), Matillion ETL on AWS VM
Data Engineering: Data pipeline design, data ingestion, JSON APIs, orchestration
Architecture: Data pipeline designing, warehouse design & performance improvement, schema governance,
Programming: Advanced SQL (window functions, joins, partitioning), Python for data extraction and loading
Big Data & Analytics: Handling terabyte-scale datasets, data quality, BI enablement, forecasting models
Collaboration: Agile/Scrum master, stakeholder alignment, team mentoring, cross-functional delivery