About

Pranav Dua is a highly skilled Data Engineer with over 5 years of experience in the field. He is currently working at Twilio, where he is responsible for building scalable pipelines for data analysis and transformations. Pranav has a strong exposure to big data technologies like Apache Spark, Azure Databricks, Hive, Hadoop, and more. He is also proficient in programming and analytical skills, which makes him a valuable asset to any team. Pranav's current focus is on the roadmap for platform migration to Azure and big data integration pipelines for various platforms. He is adept at executing data mining and modeling activities and analyzing IOT real-time data using Azure Databricks, Azure Event Hub, and Azure Stream Analytics. Pranav has expertise in Apache Spark, Azure Databricks, Python, Scala, Pyspark, ML libraries like Numpy, Scikit-Learn, Mllib, Tensorflow, and Hive. Before joining Twilio, Pranav worked at Pratham Software and Celebal Technologies, where he designed and automated data pipelines using ADF for upcoming data loads and migrated big data platforms from Azure HD Insight to Azure Databricks. He also built real-time machine learning models for classifying real-time IOT data using Azure Event Hubs and queried data from Azure Analysis Service by pushing the data from Azure Databricks. Pranav holds a Bachelor of Technology degree in Computer Science from Jaipur Engineering College & Research Center, Jaipur. He is skilled in data engineering, Azure, Databricks, big data, Spark, ML, Scikit, Tensorflow, Hadoop, Apache Hive, integration, Python, and Scala. Pranav's experience and expertise make him a valuable addition to any team looking for a skilled Data Engineer.