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Data Engineer with 3.5+ years of experience designing and optimizing large-scale ELT/ETL ecosystems across AWS, Databricks, and Snowflake. I specialize in building scalable, high-performance data pipelines and architecting data warehouse solutions that drive data-driven decision-making.

Experienced in developing robust data models using star schema, orchestrating incremental data processing workflows, and optimizing Spark and SQL performance to handle high-volume analytical workloads. Strong focus on data quality, governance, and reliability through schema enforcement and access control mechanisms.

I enjoy collaborating with analytics, BI, and product teams to design meaningful datasets that power impactful dashboards and business insights. I’m also passionate about improving engineering efficiency through CI/CD automation and performance optimization.

Core expertise:
• Data Engineering (ETL/ELT, Data Warehousing)
• Databricks, Snowflake, AWS (S3, Glue, IAM, CloudWatch)
• PySpark, SQL, Spark SQL
• Data Modeling (Star Schema, OLAP Systems)
• Performance Optimization & Data Governance

Currently exploring opportunities to build scalable data platforms and transition into impactful product-driven roles.