Manikandan Ganesan
Senior Data Engineer @Wells Fargo
Signup · Get unlimited contacts
WORK HISTORY
Senior Data Engineer @Wells Fargo
EDUCATION
DeVry University
Master's degree, Masters i Information Systems Management
ABOUT MANIKANDAN GANESAN
Overall 15+ years of professional IT experience, Proven record managing all phases of Software Development Life Cycle (SDLC).As Data Engineer Lead, in Wells Fargo, leading a group of 10 members which includes, 4 system engineer, 5 developers, 1 Business consultantExperience on configuring Google Cloud Components, Google VPC, and subnet Group for isolation of resources.Experience in installing and configuring Continuous Integration / Continuous Delivery application JENKINS.Designing and deploying dynamically scalable, available, fault-tolerant, and reliable applications on the AWS/GCP CloudProficient in defining build pipelines for creating and maintaining multiple jobs.Extended subnet for the requirement of the instance addition in GCP by changing the Subnets.Deployed Jenkins in GCP for the automated process/implementationGood knowledge on Kubernetes.Experience with AWS Glue to migrate loan data from SOR team to AWS RedshiftGood experience in Python script for reading data in AWS S3 storageAdministering PostgreSQL/MySQL databases in terms of backup / restore, index maintenance, performance tuning.Multiple VM created in Google Cloud Console for windows/ Linux for cross platform testing purposeWorked with the Relational database systems like MySQL, MSSQL, PL/SQL, Oracle, DB2, SQL Server, RDBMS, and NoSQL database systems like Redis, PostgreSQL, MongoDB, CouchDB, Cassandra, Wakanda.Strong knowledge of data warehousing, including Extract, Transform, and Load Processes.Application code migration testing thru Prod env deployment using CI/CD Jenkins/Udeploy/GithubInstallation, Upgrades & Migration of Grid Infrastructure and Databases. Automated SOR (System of Record) Monitoring process that includes Sor arrival/ stage load/ Business data load count for a given day/Monthly load count report generation thru Shell scriptingData Scrub performed on Sensitive Data (SSN/telephone number/First-Last name of customer) on Business Table on Columns.Using Big Query to retrieve Big data related data into GCPWell versed in Cloud Sql/ Cloud spanner/ Cloud Big Query/ Cloud storage/ Cloud compute engine/Automation of Oracle RAC/DB Installation.Converting JSON files to Python format to store them in Cloud storage for report analysisFormulated strategies and plans for system backup services, recovery, and availability schemas.Initiative-taker with a Cheerful outlook, willingness to learn new Concepts and Acceptance of Challenges.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.