Kumar D.

About Kumar D.

I build production-grade data and AI systems that solve real business problems — not just…

Experience

1. Data Engineer

   Wells Fargo

   Aug 2024 — Present · US

   Developed a real-time ETL pipeline with Apache Kafka and Spark (Scala) to analyze customer behavior data on an ecommerce platform, resulting in a 15% increase in sales conversions.2. Utilized Hadoop and MapReduce to optimize large-scale historical data processing, implementing data mapping and transformation logic to ensure consistency and integrity across diverse sources.3. Architected and optimized the Snowflake data warehouse for efficient storage and retrieval of structured and unstructured data, ensuring scalability and performance for large datasets.4. Automated comprehensive ETL workflows using Python and SQL for data extraction, transformation, and loading into the warehouse, while leveraging MS Excel for ad-hoc analysis and reporting.5. Developed interactive dashboards using Power BI, enabling real-time visualization of key business metrics and empowering data-driven decision-making across departments.6. Integrated predictive models using Amazon SageMaker for customer churn prediction and personalized product recommendations, deploying models and data pipelines in the cloud using AWS Glue, Amazon S3, and Amazon Redshift for secure, scalable infrastructure.7. Automated CI/CD using AWS CodePipeline and AWS CodeBuild for data infrastructure deployment, while optimizing Spark job performance and implementing monitoring tools like Amazon CloudWatch for continuous improvement.