Lakshmanan Raghunathan

• Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
• Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Writes unit/integration tests, contributes to engineering wiki, and documents work.
• Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Works closely with a team of frontend and backend engineers, product managers, and analysts.
• Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
• Designs data integrations and data quality framework.
• Designs and evaluates open source and vendor tools for data lineage.
• Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.

Has a wide Knowledge in Snowflake and Snowpipe for the continuous ingestion

• Mentored junior developers in understanding the system architecture and developing efficient code.
• Mentored junior developers on coding standards and best practices.

• Company Overview: Industry: Banking
• Experience in analyzing the VB batch scripts to understand the flow of the project
• Developed the Unix scripts for the password vaulting (high privileged ID)
• Experience in creating the partition like transparent, Replicate etc.
• Has experience in writing the Maxl scripts to automate the repetitive process like level 0 data export and import database etc...
• Developed new Business rules and rule sets for the business requirement to pre-populate the data for FC1.
• Experience in analyzing the Jython scripts to understand the flow of the FDMEE
• Experience in creating the job in the explore for running the unix shell scripts which in turns trigger the FDMEE process
• Created the FDMEE location and DLR for the new business requirements
• Has experience in changing the hierarchy members (Addition of new members and deletion) in planning and essbase.
• Has experience in taking the LCM exports and importing the LCM back to the applications
• Developed creating the infrastructure for installing the ODI Studio.
• Experience in converting the informatica mappings into ODI packages and procedures with the oracle as a DB
• Removed the Obsolete component (Control Center Mappings which was in windows XP) with the FDMEE component for mapping changes.
• Has minimal Experience in converting on prem application into AWS Cloud platform like Redshift
• Machine Learning - Linear Regression, Logistic Regression/Classification
• Basic Neural Networks - Convolutional Neural Networks (CNN)
• Completed POC for separating the outliers from the T&E and SCM data by using the statistical analysis (Robust scaler and Z-score method) Supervised learning
• Industry: Banking

• Company Overview: Industry: Banking
• Development - Understanding business requirements, according to that we will edit the Unix shell script
• Unit Testing - testing the edited Unix shell script with multiple test case scenarios
• Deployment - Deploy the Unix script to the PROD env with proper testing
• User Acceptance Testing - Understanding and analyzing UAT defects and providing solution.
• Industry: Banking