Raghav Gupta

Responsibilities:

• Enhancing regulatory compliance of customer communications by implementing streamlined procedures for extracting information from varied sources, performing data transformations through ETL workflows using Palantir Foundry, and dispatching it seamlessly to downstream systems.
• Engaging in frequent communication with business partners to ensure clear comprehension of requirements and consistently communicating project progress.
• Gathering required data from various sources efficiently and cleaning data before processing.
• Designing new ETL workflows and optimizing existing ones in Palantir Foundry.
• Generating high-performance PySpark code and optimizing SQL stored procedures to efficiently process data according to business standards.
• Managing the data in the Active Data Warehouse using the data warehousing concepts.
• Analyzing data to extract insightful information and proposing ideas for optimizing customer experience.

Technologies used: Palantir Foundry - Code Repository Workbook, Contour, Data connection, PySpark, SQL, Sybase DB, Oracle DB.

Responsibilities:

• Creating data visualizations and business analytic dashboards, while handling end-to-end project processes on Palantir Foundry, to cater to specific business use cases.
• Facilitating requirement comprehension through direct engagement with business partners, while providing ongoing status updates for projects in progress.
• Collecting necessary data from diverse sources and enhancing ETL pipelines through the application of Spark concepts.
• Streamlining the scheduling process of the ETL pipeline to obtain up-to-date and reliable data.
• Developing dashboards/applications using Palantir Foundry's Slate/Workshop Utilities, incorporating built-in widgets and custom TypeScript/JavaScript functions for enhanced data visualization.

Technologies used:

Python, PySpark, SQL, Java, JavaScript, TypeScript, Phonograph, Palantir Foundry - Data Connection, Contour, Repository, Scheduler, Ontology, Slate, and Workshop.

Responsibilities:

• Designing, developing and maintaining data pipelines
• Managing data from diverse sources, directing its integration into Palantir Foundry to construct a seamless data pipeline.
• Analyzing the data after pre-processing to address business use cases.
• Developing Data Visualizations Dashboards in Palantir Foundry's Slate and Workshop Utility.

Technologies used:

Python, PySpark, SQL, Palantir Foundry - Data Connection, Workbook, Contour, Slate, and Workshop.

Responsibilities:

• Cleaning and Pre-processing Data after ingestion in Palantir.
• Reviewing previously developed ETL pipelines in Palantir and making alterations to bring them up to date with current business requirements.
• Analyzing data to address various business scenarios.

Technologies used:

Python, PySpark, SQL, Palantir Foundry, and Contour.

Responsibilities:

• Going through Documentation and Understanding the Palantir Tool, and Getting Hands-on experience.
• Understanding the Spark and Big Data concepts.

Technologies used:

Python, PySpark, SQL, and Palantir Foundry.

• Project: IoT-Based SMART PAIN RELIEF SYSTEM using Acupressure Therapy
• A Smart, Mobile App controllable acupressure glove enabling safe, accurate and cost-effective application of self-stimulation of acupressure points on the hand and wrist (Using direct Acupressure).