Pulkit Rathi Email & Phone Number

Bengaluru, Karnataka, India

Oracle Cloud Infrastructure (OCI) Data Flow is a fully managed Apache Spark serverless cloud-native product that simplifies big data and ML applications without having to worry about managing infrastructure. It enables rapid application delivery because developers can focus on application development, not infrastructure management. Customers can develop Bigtata/ETL/ML/Delta spark applications using Scala, Python, Java, SQL .Other salient features of Data Flow:1. Support for building streaming applications2. Managed Infrastructure3. Follows pay as you go model. Customers need to pay just for the time their applications run4. Cloud native securityand much more.For more details: https://www.oracle.com/in/big-data/data-flow/Tech Stack: Spark, Java, Scala, Kubernetes, Docker, Oracle Cloud Infrastructure Services like Compute, OKE, Identity, etc

Bengaluru, Karnataka, India

1. Worked on data ingestion for fraud detection ecosystem from multiple data lakes to Azure Cosmos DB using Databricks notebook and Azure Data Factory.2. Created Node.js API for fraud detection ecosystem that queries data stored in Azure Cosmos DB and sends the results back using GraphQL.3. Created pipeline for Dell support assist data on Azure Data Factory for automated data curation using triggers.4. Automated data ingestion process for headcount reporting from multiple data sources to SQL DB using SSIS packages.5. Handled migration of MS Access database to SQL Server using Python and VBA scripts.• Technologies Used: Azure CosmosDB, Azure Data Factory, Azure Databricks, Azure Datalake, GraphQL, MS Access, Node.js, Python, SQL Server, SSIS.

Bengaluru, Karnataka, India

1. Developed a python application for analyzing and visualizing driver scan logs using Flask and Python.2. Worked on ETL pipeline for parquet file generation using Spark and Azure event hubs.• Technologies Used: Flask, Matplotlib, Pandas, Python, Scala, Spark.

Bangalore

1. Did data analysis on user data to find trends in user behaviour.2. Developed a recommendation system to increase orders per user by showing personalized feed to the users.• Technologies Used : Scala, Spark, Pandas, NumPy, Matplotlib, Python.

Integrated Post Graduate (B.Tech + M.Tech), Information Technology, 8.10

Intermediate, Pcm, 96%

High School, 10.0 Cgpa