S Kumar Email & Phone Number

• Stored and managed large volumes of data in AWS S3 ensuring data availability and durability for analytics and processing.
• Orchestrated over 30 data workflows with Apache Airflow, scheduling and managing complex ETL pipelines and data processing tasks, leading to a 35% increase in pipeline reliability.
• Leveraged AWS Redshift for high-performance data warehousing and analytics, optimizing query performance and reducing execution time by 50%.
• Implemented MLflow to manage the machine learning lifecycle, including experimentation, reproducibility and model deployment.

India

• Built and deployed machine learning models using Tensor Flow and managed model pipelines with Kubeflow, enabling scalable and reproducible ML workflows.
• Orchestrated containerized applications and services with Kubernetes ensuring scalable and resilient deployment of data solutions.

Bengaluru, Karnataka, India

• Leveraged Scikit-Learn and Tensor Flow to build and deploy machine learning models enhancing data-driven decision-making capabilities.
• Managed data processing and analysis using Google Cloud services, including Dataflow for batch and streaming data processing and Pub/Sub for real-time messaging.
• Developed interactive dashboards and visualizations with Tableau, providing actionable insights derived from data.

India

• Configured and managed AWS EC2 instances for scalable data application deployment and operation.
• Employed Map Reduce and YARN on HDFS to process large datasets efficiently.
• Mapped data from various source systems to target databases ensuring high accuracy and data integrity.
• Identified and resolved workflow bugs using Bugzilla ensuring seamless data operations.
• Managed AWS RDS databases to optimize performance and ensure high availability for applications.
• Used Apache Sqoop to facilitate data transfers between Hadoop and relational databases.