MLOps Model Monitoring Solution (AI Factory): Led the development of an AI Factory framework to monitor ML models, detecting model health issues, drift, and anomalies using ground truth, inference, and training datasets. • Defined key performance indicators (KPIs) to evaluate model performance and monitoring effectiveness, utilizing tools such as Evidently and Streamlit• Collaborated with data scientists, ML engineers, DevOps, and stakeholders to establish model monitoring requirements for machine learning models.Microsoft Fabric (POC): Led a proof of concept to migrate data from Primavera P6 to Microsoft Fabric, importing and organizing assets in One Lake and designing data models for Power BI visualizations to enable self-service analytics. Implemented Microsoft Purview for improved data governance.Bill Indicator and Usage Measurement, Aggregation (UMA)• Led the implementation of billed indicator flag updates from SAP (Customer and Billing Data) and MDMS (Meter Data Management System) to Snowflake, applying SCD Type 2Digital Data Product: Led the development of Digital Data Product, streamlining data ingestion patterns to extract enterprise tags data from Google Analytics (Big Query) to Snowflake using AWS Glue and DBT (ELT). • Implemented parameterized SQL and Jinja functions in DBT, achieving a 15% reduction in development time and enhancing code reusability. • Implemented and recommended AWS Apache Airflow services to replace Autosys for orchestrationOn Prem to Cloud Migration: Directed and executed the successful migration of enterprise data warehouse workloads to the cloud data Services, replacing SQL Server, Teradata with Snowflake and transitioning from Ab Initio ETL date ingestion mappings to Snowflake; reduced maintenance efforts by 25%.• Revamped outdated legacy source code and eliminated unused SQL SERVER, Teradata objects, leading to improved usability, faster migration timelines, and a 30% enhancement in overall runtime performance.

OMNI Channel:• Spearheaded the planning and execution of a transformative omni-channel initiative, integrating diverse data sources including chat, co-browse, and web messaging; facilitated ad-hoc analysis and data visualization, resulting in a 20% reduction in customer support issues.• Conducted data quality, profiling, mapping to ensure technical design alignment with business needs.• Directed project schedule, project planning, risk, issue, scope, and budget to meet project objectives. Mitigated project risks, reducing the number of critical issues by 30% through risk program management strategies.• Led the data roadmap for a retirement data platform modernization, integrating legacy products and streamlining data transfer; achieved a 50% reduction in synchronization time and improved data accuracy, facilitating a smooth transition.• Designed data model for integrated Operational Data Store (ODS) and Enterprise Data Warehouse, along with creating ETL framework and test load scripts.• Led project management encompassing schedule, planning, risk, issue, scope, and budget, achieving project objectives. • Serve as the focal point for delivering customer-facing IT data solutions within projects.• Conducted performance reviews and appraisals for a team of 45+ skilled professionals, aligning assessments with business goals such as Utilization, Customer Feedback, Innovation, Automation, and Skill Enhancements.

• Crafted comprehensive database architecture, encompassing Conceptual, Logical and Physical Data Model, employing Erwin as a Data modelling tool.• End-to-end solution architecture, encompassing non-functional attributes, for one or more applications capabilities, making critical Information technology choices and participating in the implementation of key functionalities.• Analyzed, design, and optimized Client, Project server and Business Intelligence (BI-SSIS) database applications using MS SQL Server 2012/SSIS, covering stages of the Software Development Life Cycle (SDLC).• Prepared test data, data conversion, and deployed databases for QA, staging and production environments, ensuring seamless transition and optimal performance.• Leveraged Microsoft Project (MPP 2010) for strategic project, sprint planning and Accenture Delivery Methods (ADM tools) for accurate project estimates, mitigation.• Implemented a data-driven approach to product development, leading a team of 2 Product Managers and 15 data engineering professionals across domain experience.

• Spearheaded the Abacus Database, a collaborative SQL Server 2012 database spanning over 700 GB. Critical components, including Log Shipping, Database backup, Always On, and reporting instances for data availability.• Innovated by developing a custom tool and framework for generating archival and purging processes specifically tailored for tables, streamlining data pipeline and program IT application management business processes.• Developed influential T-SQL queries, enhancements, integrating features like table partitioning, resource governance, Change Data Capture (CDC), and filtered indexes, thereby optimizing the efficiency and performance of SQL 2008 R2.• Conducted comprehensive quarterly reviews of project team members work, velocity identifying areas for improvement in non-functional attributes, particularly focusing on performance, visibility and security monitored closely.• Lead the growth and development of the expanding data team through training and mentorship, ensuring strict adherence to high-quality and performance standards.

• Specialized in Microsoft Technologies, with a focus on VB.NET 2.0, ASP.NET 2.0, ADO.NET 2.0, and MS SQL Server.• Demonstrated expertise in T-SQL (DML, DDL) across SQL Server 2005/2000 platforms, ensuring efficient requirements analysis, business Analysis, systems analysis, data analysis, data manipulation and database design.• Functioned as a Software Engineer, Developer leveraging Microsoft Technologies including VB.NET 2.0, ASP.NET 2.0, ADO.NET 2.0, and MS SQL Server to develop robust and scalable business solutions.