Prashant Narayani

About Prashant Narayani

A dedicated, enthusiastic, solutions-driven, self-motivated IT professional with more than 19 years of experience specialized in Cloud Data Modernization, Data Engineering, Enterprise data architecture and management.Working as a Senior Data Engineer on various Data warehousing projects including Data Protection/privacy initiatives like GDPR, CCPA and Nevada Privacy Law with Hands-on experience on implementing solutions leveraging Azure Cloud (Azure Data Factory, Azure Databricks (Pyspark), Azure Event Hub, Azure DevOps, Azure Logic Apps, Synapse, Flink, Azure DevOps, Azure Data explorer, Cassandra, Grafana etc.)Proven ability to provide data engineering solutions in a complex environment, proven track record of being able to lead, manage and motivate teams to meet tight deadlinesWell-versed with leading and managing analytics projects. Effective in cross-functional and global environments to manage multiple tasks and assignments concurrently. Working in tandem with data scientists community to build next generation predictive analysis models.As a hands-on Senior Data Engineer, responsible for providing the technical direction/road map/vision and planning of application systems and data solutions in portfolio.Microsoft Azure Certified Data Engineer.

Experience

1. Senior Data Engineer

   U.S. Bank

   Aug 2021 — Present · US

   Working as a Senior Data Engineer for Marketing Analytics Datamart to support Enterprise Analytics and Artificial Intelligence (EAA) for the need of customer analytics and real-time data ingestion solutions using Azure Spark streaming, Apache Flink, Azure Streaming Analytics, Hive and Azure cloud solutions. As a part of cloud migration, providing the technical solutions to convert the DataStage codes into equivalent Spark codes and load the data to Azure Synapse Analytics. Working on loading the Customer360 tables in Hadoop cluster from Hive-ELZ (Enterprise Landing Zone). Working with business team to understand the data requirements and creating the Pyspark codes and DataStage jobs to read the data from different source systems and load them into Azure Synapse Analytics and DB2 database with robust error handling procedures. Working on automating the ETL jobs using Autosys job scheduling tool to achieve proper dependency and to accomplish accuracy of the data. Working on different user reported data/production issues and resolve them on time. Providing engineering solutions to some of the critical functional Units.

Education

• BLDEAs College of Engg. & Technology, BIJAPUR

  Bachelor of Engineering - BE, Electronics and Communication

Skills

• Etl
• Datastage
• Teradata
• Linux
• Unix
• Data Warehousing
• Oracle
• Sql
• Bteq
• Agile Methodologies
• Visio
• Teradata Data Warehouse
• Extract, Transform, Load (Etl)
• Pl/Sql