Jeevan R. Email & Phone Number

Ravenna, OH, US

• Designing and implementing robust data architecture solutions using Azure services such as Azure Data Lake,
• Azure Synapse Analytics, and Azure SQL Database.
• Analyze, design and build modern data solutions using Azure PaaS service to support visualization of data.
• Understand current production state of application and determine the impact of new implementation on existing business processes.
• Extract, transform and load (ETL) data from source systems to Azure data storage services using combination of Azure data factory (ADF), T-SQL, Spark SQL and U-SQL Azure data lake analytics.
• Data ingestion to one or more Azure services – Azure Data Lake, Azure storage, Azure SQL, Azure DW and processing the data in Azure data bricks.

United States

• Designing and implementing Hadoop YARN cluster infrastructure to manage resource allocation for large-scale data processing tasks.
• Optimizing Hadoop YARN cluster performance by tuning resource allocation parameters, reducing job execution time by 20%.
• Monitoring YARN resource manager and node manager logs to identify bottlenecks and troubleshoot job failures in real-time.
• Managing multi-tenant Hadoop YARN clusters, ensuring fair resource allocation and job scheduling for various teams and departments.

Charlotte, North Carolina, United States

• In this role, I own solution design, development, and implementation for a bank enterprise client. I assess functional requirements, translate them into technical specifications, and create custom apps and data.
• Developed psypark apps that efficiently reduced code length and functions.
• Identified and recommended suitable technology stack for Hadoop migration in light of current enterprise architecture.
• Leveraged Sparkdataframes, Scala, and Python to convert Hive/SQL queries into Spark transformations.
• Enhanced data processing through implementation of Spark using Scala and data frames, as well as SparkSQLAPI.
• Implemented compression mechanisms that optimized MapReduce to use HDFS efficiently.

Raleigh, North Carolina, United States

• In this position, I drove agile projects through daily scrum meetings and sprint planning sessions. As the technical lead, I provided subject matter expertise (SME) for a development team working on the PySpark as ETL.
• Automated all jobs - pulled data from diverse data sources and pushed result datasets to HDFS.
• Setup Solr Clouds to distribute indexing and search.
• Implemented partitioning and bucketing to deliver hive performance tuning.
• Instituted row-level updates and real-time analytics with CQL on Cassandra Data.
• Created Pyspark frame to migrate data from DB2 to Amazon S3.

Mclean, Virginia, United States

• At CapitalOne, I analyzed functional specifications and drove data collection from web servers and both mobile & network devices via Apache Flume. Key Achievements:
• Leveraged Apache Airflow and shell scripting to ensure daily execution of production tasks.
• Migrated legacy on-premise application to AWS.
• Used SQOOP to import and export data into HDFS from Oracle 10.2 database.

Executive Mba, Business Administration And Management, General

Computers And Information Systems, Information Technology, A

Bachelor'S Degree, Electrical, Electronics And Communications Engineering