Srinath Kokkonda

Designed and developed data pipelines from Azure Synapse to local SQL Server, ensuring data consistency and quality. Transformed vast amounts of structured and unstructured data using Apache Spark and optimized the performance of data systems and pipelines.

Analyzed telemetry data and built data pipelines using Azure Data Factory and Apache Spark in Azure Databricks. Transformed large datasets into meaningful data and designed solutions using Azure Storage and SQL Data Warehouse.

Created data visualization graphics using Tableau and Power BI, translating complex datasets into comprehensive visual representations. Analyzed market gaps and behavioral changes in users to support decision-making processes.

Gathered relevant datasets and extracted features using feature engineering methods. Developed recommendation engines and sentiment analysis models using Natural Language Processing from complex text datasets.

Designed and optimized data pipelines in Azure Synapse for real-time energy demand data. Managed data in relational databases and generated insights to support decision-making processes in the Fintech insurance domain.

Grade: 7.8

Completed a Bachelor of Technology in Electrical & Electronics Engineering, focusing on various aspects of electrical engineering and technology applications.