- Designed and maintained scalable data pipelines and ETL processes using AWS cloud services (Lambda, Glue, Redshift) to support large-scale data processing needs.- Integrated real-time data streams from Apache Kafka with relational and non-relational databases for enhanced data accessibility and decision-making.- Built and optimized data lakes and data models on platforms like Snowflake and Databricks, improving data availability and quality across teams.- Utilized Apache Airflow to automate and monitor workflows, ensuring smooth, efficient data processing and reducing latency.- Developed data visualizations and dashboards in Power BI, Qlik, and Tableau to provide actionable insights to stakeholders.- Automated infrastructure provisioning with Terraform, improving deployment efficiency and supporting scalability across data environments.