Overall Experience:Over 12 years of experience in data integration, cloud architecture, and analytics, with a focus on building scalable data platforms and optimizing data pipelines for business insights.Cloud Data Engineering & Platform Development:Developed and maintained a cloud-based data platform for ingesting, processing, and managing data from multiple sources, leveraging Snowflake, AWS services, and dbt for transformation and modeling.Technologies Used: Snowflake, Python, SQL, dbt, AWS (S3, Redshift, Glue, Athena), SAP.Achieved a 30% improvement in data ingestion speed and a 20% reduction in processing time through optimized pipeline design and efficient use of cloud resources.Ensured data accuracy, consistency, and reliability, providing robust support for analytics, reporting, and decision-making processes across the organization.Analytical Experience:Extensive experience in data modeling, transformation, and analysis, supporting global teams with actionable insights using Snowflake and dbt in the cloud.Enabled advanced data analytics and business intelligence workflows by designing and maintaining efficient ETL pipelines, allowing for more informed strategic decisions.Certifications and Methodologies:AWS Certified Solutions Architect with expertise in designing, deploying, and maintaining cloud infrastructure on AWS.Proficient in Agile methodologies, experienced in working with cross-functional teams to deliver high-quality solutions in iterative sprints.Communication and Best Practices:Strong communication skills, collaborating effectively with diverse stakeholders, including data scientists, analysts, and business teams, to ensure alignment on requirements and deliverables.Knowledgeable in software engineering best practices, including version control (Git), code reviews, and CI/CD pipelines for continuous integration and deployment.