Executive Resume
Professional Summary
Data Engineer with 17+ years of experience delivering and supporting production data platforms, data pipelines, and analytics solutions across retail, payments, and financial services. Over the last year, focused on R&D in Data Observability, Agentic AI, and Business Intelligence modernization, including Power BI MCP integration, semantic model access, and end-to-end tracing for AI applications.
Core Skills
Selected Achievements
- Designed and optimized Airflow workflows, improving pipeline reliability and reducing rerun frequency.
- Improved operational visibility through proactive dashboards and alerting, helping teams triage incidents faster.
- Refactored and reviewed multi-language codebases, improving maintainability and release confidence.
- Automated recurring operational processes with Python and shell scripting to reduce manual effort.
R&D and Innovation Contributions (Last 1 Year)
- Data Observability Platform Research: Evaluated enterprise architecture patterns for anomaly detection, data quality, freshness, lineage, and schema drift across GCP, Azure, and AWS, and created a reusable reference framework.
- Power BI MCP Server for Polaris Agent Studio: Designed and developed MCP capabilities (XMLA, DAX, semantic model metadata) to enable AI agents to access enterprise Power BI assets.
- Power BI Migration Accelerator: Built reusable migration components for metadata extraction and dependency analysis to improve migration planning consistency and delivery speed.
- Dynatrace-Based Agentic AI Observability: Leading R&D for end-to-end traceability across chat interactions, agent flows, LLM calls, and tool invocations to improve root-cause analysis and operational visibility.
Experience
Atos | Aug 2012 - Present
Worked across multiple client engagements in data engineering, modernization, production support, and R&D initiatives.
- Participated in end-to-end SDLC delivery including requirement analysis, design, development, testing, deployment, and production support.
- Coordinated with onsite and offshore teams for release planning, defect triage, and incident response.
- Drove engineering quality through code reviews, technical documentation, and operational runbooks.
R&D Project | Data Observability and Agentic AI
Jan 2025 - Present
- Drive research initiatives in data observability and AI-enabled operations across enterprise data platforms.
- Develop and validate Power BI MCP and migration accelerator patterns for BI modernization programs.
- Lead Dynatrace-based observability implementation for end-to-end tracing of AI agent workflows and chat interactions.
- Design traceability frameworks covering user interactions, LLM requests/responses, tool invocation flows, and multi-agent execution paths.
The Home Depot | Consultant Data Engineer
Jun 2023 - Dec 2024
- Build and support Apache Airflow DAGs and Python tasks for fulfillment, customer, and core data workflows.
- Troubleshoot production issues, coordinate fixes, and support deployment readiness.
- Use monitoring and performance analysis to improve pipeline reliability and response time.
- Participated in standups, design sessions, story grooming, retrospectives, and cross-team delivery coordination.
- Prepared deployment documentation and troubleshooting guides to support faster issue resolution and knowledge transfer.
PayPal | Consultant Software Developer
Jan 2022 - Jan 2023
- Executed application refactoring and change requests across C++, Python, shell scripting, and PL/SQL.
- Provided production hot-fix support and delivered quality improvements through code reviews.
- Designed and optimized Oracle SQL/PLSQL routines and Python scripts for data extraction, transformation, and process automation.
- Monitored application performance against KPIs and supported enhancements across development, testing, and production lifecycles.
StateStreet | Consultant
Oct 2016 - Dec 2021
- Automated interfaces using Python and PowerShell, and managed build/deploy/test cycles for change requests.
- Supported production monitoring and incident handling for data workflows and dependent systems.
- Collaborated with SMEs to gather business requirements and translate them into executable process flows.
- Enforced development best practices including code reviews and unit testing to maintain engineering quality.
Additional Atos client history: StateStreet (Sr. Analyst, 2013 - 2016) and PayPal (Software Engineer, 2012 - 2013), with responsibilities spanning Teradata utilities (BTEQ, MLoad, FLoad), database object creation, SQL/PLSQL development, shell-based automation, data quality checks, and enterprise data delivery support.
Global Analytics | Software Engineer
Mar 2010 - Mar 2012
- Worked with business analysts to translate requirements into technical implementations and complex SQL-based solutions.
- Developed functions, procedures, and complex queries across Netezza SQL, MySQL, and Oracle environments.
- Created and maintained database objects such as tables, views, sequences, and synonyms.
- Developed SQL-Loader and PL/SQL scripts for ingesting data from external sources.
- Performed bug analysis and debugging; integrated C++ modules with Python scripts for real-time transaction flows.
- Used makefile, gcc, and gdb tooling for compile/debug activities.
Environment: Python, C++, MySQL, Oracle, Netezza, SVN
CalydonTech | Analyst Programmer
Mar 2008 - Mar 2010
- Designed and implemented GSM communication workflows for mobile communication use cases.
- Contributed to database design and implementation, including table and view creation based on data models.
- Prepared UI and functional documentation and maintained project data documentation standards.
- Created, modified, and maintained GIS datasets for engineering and survey initiatives.
- Collaborated with technicians and analysts on project support, data processing, and visualization requests.
- Maintained desktop geospatial datasets with QA/QC focus on data accuracy and content quality.
Environment: Oracle, Keil C
Certifications
- Post Graduate Program in Data Engineering - NIELIT (Issued Nov 2023)
- BigQuery for Big Data Engineers: Master BigQuery Internals - Udemy (Issued Oct 2023, Credential ID: UC-afcc8980-197d-4a77-8020-2b196501c4fd)
- Go (Basic) - HackerRank (Issued Mar 2023, Credential ID: 33a5ff20f7c3)
- Go: The Complete Developer's Guide (Golang) - Udemy (Issued Aug 2022, Credential ID: UC-a92652ea-6d78-4dc1-95c8-bab776d3961e)
- The Complete Splunk Beginner Course 2022 - Udemy (Issued May 2022, Credential ID: UC-a67cf037-fbe2-40a7-a841-9a0c39b7d0e1)
Show all other certifications
- Write Better Emails: Tactics for Smarter Team Communication - Udemy (Issued Mar 2022)
- Programming in C++ Certification - Udemy (Issued Feb 2022, Credential ID: c03d8c4d-d362-47bf-9d1e-49dacddb9850)
- Data Analysis using Python Level 2 - Mettl (Issued Jun 2021)
- Docker Workshop - Mettl (Issued Apr 2021)
- Machine Learning Level 1 - Mettl (Issued Apr 2021)
- Python Basics - Mettl (Issued Mar 2021)
- Deploying Applications - GCP - Coursera (Issued Aug 2019)
- Kubernetes in the Google Cloud - Coursera (Issued Aug 2019)
- Application Development - Python - Coursera (Issued Aug 2019)
- App Deployment, Debugging, and Performance - Coursera (Issued Aug 2019, Credential ID: 9JU5KVT5WSQK)
- Securing and Integrating Components of your Application - Coursera (Issued Aug 2019, Credential ID: EX54Y7PFLM)
- Getting Started With Application Development - Coursera (Issued Jun 2019, Credential ID: 4F34P7E34M44)
- Google Cloud Platform Fundamentals: Core Infrastructure - Coursera (Issued Jul 2019, Credential ID: KJX7P49N7GZ3)
Education
Bachelor Degree in Computer Science
Shri Andal Alagar College of Engineering (2004 - 2008)
Language
Tamil, English