Srikanth K

About Srikanth K

As Azure Data Engineer having hands on experience in Azure Cloud, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure Analytical services, Azure SQL DB, and Data bricks.Created numerous pipelines in Azure using Azure Data Factory v2 to get the data from different source databases, Sybase etc by using different Azure Activities like Move & Transform, Copy, filter, for each, Databricks etc.As Oracle Database administrator, having hands on experience in database administration, production support, installation, configuration, upgrades, performance tuning, backup and recovery, cloning, space management, and database security with Oracle ( 11g, 12c, 19c) and also Oracle Real Application Clusters (RAC), Automatic Storage Management (ASM), Data guard, goldengate on Sun Solaris, Red Hat Linux, HP-UX, AIX, and Windows Platform. Experience with very large scale database environments and mission critical OLTP and OLAP systems and in Installation, Patching, Cloning, and Upgrade of Oracle Databases and in Backup & Recovery, Disaster Recovery options, Oracle Recovery Manager (RMAN) and in Oracle Enterprise Manager (OEM).

Experience

1. Senior Software Engineer

   Wells Fargo

   Jul 2023 — Present · Charlotte, NC, US

   Played a key role in various phases of the Software Development Life Cycle (SDLC), including requirements gathering, modeling, analysis, design, development, and testing.• Designed Spark Applications using Scala and implemented Apache Spark data processing projects to handle data from various RDBMS and streaming sources.• Utilized extensive experience in working with the Spark ecosystem, using Spark SQL and Scala queries on different data formats such as Text files and CSV files.• Developed a linear regression model to predict continuous measurements, enhancing wind turbine data analysis using Spark with Java.• Proficiently executed Spark using Java and Spark SQL for faster data processing from diverse sources.• Actively contributed to writing SQL and stored procedures for addressing complex queries through Oracle SQL Developer and accessing them via Java Programs from the Oracle Database.• Developed Spark applications and used Data frames & Spark-SQL API primarily for event enrichment and lookups with other enterprise data sources.• Employed Kafka producer and consumer applications on a Kafka cluster setup with the assistance of Zookeeper.• Developed Spark Applications using Java and implemented Apache Spark data processing projects to handle data from various RDBMS and Streaming sources.• Performed ETL on different data formats such as JSON and CSV files, converting them to Parquet format when loading into final tables. Conducted ad-hoc querying using Hive and Impala.• Wrote transformations and actions on data frames, utilizing Spark SQL on data frames to access Hive tables within Spark for accelerated data processing.

Education

• University of Hartford

  Master's degree, Engineering/Industrial Management

  2014 — 2015