Gaurav Khatri Email & Phone Number

New York, Ny, Us

New York, Ny, Us

New York, United States

Working as a data engineering consultant for a techno-functional role, implementing and delivering data solutions for key pharma companies in the US.

Huntsville, Alabama, United States

Working with cross-domain teams from Computer Science and Earth Science teams from UAH, FSU, and UNT, to build scalable data pipelines for climate data, that aid state-of-the-art temperature data modelling.Major Contrubutions:1. Improved bottlenecks in the climate data ingestion pipeline with runtime improvement by 75% and tested ML models for spatiotemporal data, combining ground observations with NASA’s ECOSTRESS satellite image data.2. Led collaboration with cross-university researchers for end-to-end analytics research in temperature data modeling, improving the benchmark RMSE by 30% to 0.8 degrees and empowering public policy-making (using Python, Spark, and Airflow).

Atlanta, Georgia, United States

In this role, I worked in retail data analytics to implement the latest data engineering and reporting solutions for prominent US-based retailers. The scope of work intersected between modern Data Engineering, Project Management, and Consulting.Responsibilities and Contributions : 1. Providing retail data warehousing and analytics for Global retailers via the latest ETL data models (Snowflake, Azure Data Factory) and BI solutions (Tableau, Looker, Microstrategy) through the use of enterprise Data Models.2. Developing metrics in Looker for implementations across the supply chain and omni-channel ad-hoc reporting, improving reporting visibility.3. Project management work leading communication and coordination between Robling and Customer project teams4. Actively seeking and identifying opportunities to improve data processes and workflows to improve the overall product.

Denmark

Led the data engineering efforts from customer success view, with targeted efforts at understanding customer pain points and improving product experience.Data Operations : 1. Reduced log processing latency by 30% for high-volume Google Cloud applications by architecting and implementing a real-time ingestion pipeline leveraging Pub/Sub messaging and Lambda architecture.2. Ensured reliable ingestion of machine learning-powered log data pipelines for UBA analytics by debugging and maintaining Kafka clusters, minimizing downtime and data loss3. Led the technical project design and deployment of distributed Logpoint on Cloud over AWS reducing deployment time by 30% for distributed systems and reduced billing by 20% using automation.4. Designed data migration/validation pipelines for moving data across Distributed Systems for volume exceeding 10TB with 35% speed improvement as a part of the data operations.Customer Success: 1. Worked with Logpoint partners in requirements gathering and liaised with development, security, and product management teams to recommend appropriate product roadmap and design product integration plans.2. Actively worked for Data Operations which involved developing Dashboards and Reports to visualize and understand customer's infrastructure data and identify cyber threats.

Minnesota, United States

1) Designed and led the development of an Anomaly Detection Data Model and Visualization dashboard for fraud investigations using Oracle XBRi and SQL reducing store fraud by 27%.2) Developed dashboards to analyze retail data in the range of billion transactions using enterprise reporting tools such as Tableau/Microstrategy/Looker via ROI/Sales/Logistics/Finance Reports for business leadership.3) Implemented performance-tuning strategies to optimize queries and redefine schemas for analytical dashboards, resulting in a 35% improvement in reporting efficiencies.

Minnesota, United States

Nepal

Master'S Degree, Computer Science

Bachelor Of Engineering (B.E.), Elecronics And Communication Enginnering

High School, Science