Developed incremental processing pipelines, participated in Data Governance, and built secure, scalable enterprise data platforms leveraging Azure Data Factory, Databricks, Synapse, AWS Glue, S3, Redshift, EMR, Docker, Kubernetes, CI/CD.

Designed and implemented Data Lake/Warehouse architectures using Medallion Architecture. Led cross-functional teams, defined scalable data models, and optimized analytical environments. Designed cloud architectures in Azure and AWS.

Owned ingestion from multiple sources, supported ML model pipelines, reduced ETL time by 35%, processed 50M+ records monthly, and optimized database performance by up to 40%.

Led cloud-native data and AI pipelines, implemented large-scale batch/streaming pipelines using Spark and Databricks, defined data quality standards, and optimized ETL workflows.

Mentored junior developers, contributed to solution design, and technical architecture for automation and data-driven platforms.

Led automation and data-driven solutions, built dashboards, developed predictive models, and delivered automations reducing manual effort by 50%+.