DIVIJ GAWRI

Worked on creating dependencies of activities in Azure Data factory; Creating Stored Procedure and Scheduled them in Azure Environment; Monitoring Produced and Consumed Data Sets of ADF; Creating Data Factories in Azure data factory; Migrating the data from different sources to the destination with the help of ADF; Creating Pipelines with GUI in Azure Data Factory V2; Scheduling Pipelines and monitoring the data movement from source to destinations; Transforming data in Azure Data Factory with the ADF Transformation; Creating Multiple Data Sets in Azure worked in migration of SQL Server; Trouble shoot any kind of data issues or validation issues; Develop and unit test ADF Pipelines as specified in Technical Designs; Building the pipelines to copy the data from source to destination in Azure Data Factory; Successfully creating the Linked Services on the source and as well for the destination servers.

Created & managed Big Data & Machine Learning solutions by integrating a variety of programming languages and tools; Deployed Hadoop Ecosystem to improve data quality, scalability, reliability and efficiency using Spark, HDFS, Hive, SQL.

Independently handled Big Data & Machine Learning projects (Research, Innovation, Training, Testing & Deployment); Worked on Frameworks such as Tensorflow, Keras and Tesseract; Applied Supervised and Unsupervised Machine Learning Algorithms for various Image Processing and Predictive Analytics.