Keerthi M
About Keerthi M
Keerthi M is a GCP Data Engineer with extensive experience in data engineering and analysis. Currently employed at UBS, Keerthi has developed data pipelines and implemented solutions across various cloud platforms including Google Cloud Platform and Azure.
Work at UBS
Currently, Keerthi M serves as a GCP Data Engineer at UBS, a position held since 2021. In this role, Keerthi is responsible for implementing data migration solutions between Google Cloud Platform and Azure, utilizing Azure Data Factory. Keerthi also handles large-scale data processing using Apache Spark and Scala, focusing on streaming processes. The work at UBS builds on previous experience in data engineering and analytics, contributing to the company's data management and processing capabilities.
Previous Experience at Nationwide
Prior to joining UBS, Keerthi M worked as a Data Engineer at Nationwide from 2019 to 2020 in Columbus, Ohio. During this tenure, Keerthi developed data pipelines in Google Cloud Platform, employing Apache Airflow for ETL processes. This experience provided a foundation in cloud-based data engineering practices and enhanced skills in managing data workflows.
Background in Data Analysis and ETL Development
Before working at Nationwide, Keerthi M held the position of Data Analyst at Sempra from 2017 to 2019 in Oregon. This two-year role involved analyzing data to support business decisions. Additionally, Keerthi worked as an ETL BI Developer at MAISA SOLUTIONS, INC. in Hyderabad, India, from 2014 to 2015. In this capacity, Keerthi utilized AWS services to develop data pipelines, gaining valuable experience in ETL processes and business intelligence.
Technical Skills and Expertise
Keerthi M possesses expertise in various data engineering tools and technologies. Proficient in the Hadoop ecosystem, Keerthi has configured and utilized components such as HDFS, HBase, and Hive for big data processing. Additionally, Keerthi has implemented Sqoop jobs for migrating large datasets between HDFS and other storage systems, including Hive and RDBMS. Experience with Azure Data Factory and AWS services further enhances Keerthi's capabilities in data management and cloud computing.