Bhargav Kumar Muda

Core Operations & Data Quality Controls:

• Own the daily execution, engineering, and maintenance of a comprehensive validation layer for O365, Azure, and Managed Printing Services transactional billing datasets, running programmatic T-SQL validation scripts to enforce rigid data controls and ensure absolute downstream data integrity.
• Actively monitor automated overnight data processing schedules and critical transactional pipelines within SQL Server Agent; troubleshoot runtime exceptions, resolve thread locks, and maintain high service availability for corporate data consumers.
• Reconcile high-volume ingestion metrics against complex product definitions and O365 pricing data downloaded via Microsoft API calls, mitigating transactional risk and catching structural schema variations prior to target ingestion into Oracle NetSuite ERP.
• Partner closely with internal Finance, Billing, and Auditing teams to translate abstract commercial reporting mandates into automated data validation processes and auditable transactional system routines.
• Configured secure ODBC driver interfaces and utilized advanced Power Query steps to establish seamless relational hooks across disparate data silos, bringing data transparency and alignment to hybrid enterprise reporting tracks.
• Design and deliver robust BI reporting frameworks and data assets targeting commercial lifecycle indicators, provisioning business exposure matrices, contract cancellation trends, renewal models, and automated fraud-prevention alert dashboards.
• Utilize Redgate SQL Compare, SQL Prompt, and Redgate Source Control within a structured Waterfall deployment methodology to manage relational database performance tuning and resolve operational tickets through ServiceNow.

Cloud Engineering & Platform Ingestion Initiatives:

• Contributed as a core collaborative engineer on major platform initiatives, successfully migrating legacy, on-premises SalesLogix CRM data and corporate Single Source of Truth (SSOT) relational SQL databases into a modernized, secure cloud platform utilizing Azure Data Factory (ADF) for metadata-driven pipeline orchestration.
• Authored clean YAML/YML file schema definitions inside dbt and deployed automated data quality test suites to continuously validate data integrity across Medallion boundaries.
• Developed custom PySpark validation notebooks inside Databricks to audit structural integrity and transactional data quality before target system materialization inside Databricks Unity Catalog for consumption by Microsoft Dynamics 365 (D365).
• Collaborated with cross-functional architecture groups to develop Softcat's centralized Azure Data Platform (ADP), systematically ingesting transactional assets from legacy on-premise Enterprise Data Warehouses (EDW) and complex relational database models into governed Databricks environments.
• Configured and customized Databricks runtime engines, fine-tuning cluster parameters, node profiles, and autoscale logic to optimize data processing speeds and control operational cloud consumption costs.
• Configure and maintain CI/CD pipelines within Azure DevOps to automate code validation deployment, ensuring seamless version-controlled delivery of dbt models and database schemas across staging and production environments.
• Enforced strict code governance standards by executing advanced Git workflows directly within dbt and Azure DevOps such as managing branching, merging, and pull/push activities to protect production codebase stability via Pull Request (PR) peer reviews.
• Supported predictive Machine Learning (ML) initiatives by participating in automated pipelines that integrated internal enterprise metrics alongside premium B2B third-party data ecosystems (HG Insights, Tussell, and Dun & Bradstreet) to construct validated, high-value feature stores in the Gold catalog tier.