Associate Data Engineer at Brillio Technologies Pvt Ltd

Built scalable ETL workflows using Python (PySpark) and SQL and Databricks to integrate multi-source data, improving pipeline readiness. Improved data quality by implementing automated validation and profiling checks, reducing dataset inconsistencies by 35% and cutting manual effort. Prepared training datasets through feature engineering and structured preprocessing, cutting model iteration time. Automated recurring data transformations using Python and SQL on AWS environments, reducing manual effort by 60%. Designed optimized Postgres schemas and queries to centralize project data, improving retrieval speed and supporting stable reporting workflows. Structured datasets for AI and image-analysis tasks by organizing pre-processed inputs and ensuring consistent downstream interpretation. Collaborated with cross-functional teams to translate analytical needs into workflow-ready data models, improving reporting accuracy and delivery consistency.