Yashi Gupta

Data Governance and Data Quality professional with 3+ years of experience supporting enterprise data governance, metadata management, data catalog administration, data lineage, and data quality initiatives. Experienced in Alation Data Catalog, Anomalo, Azure Databricks, Azure Data Factory, SQL, Python, and cloud-based data platforms. Proven ability to partner with business stakeholders, data stewards, data engineers, and analytics teams to improve data discoverability, resolve metadata and lineage issues, support governance adoption, and enhance trust in enterprise data assets.

Skilled in governance automation, metadata onboarding, data quality monitoring, and enabling self-service analytics through governed data.

Data Governance & Data Platform Engineer - Infosys

(2022-08)

• Supported enterprise Data Governance initiatives using Alation Data Catalog, enabling business users to discover, understand, and trust critical data assets across multiple domains.
• Managed metadata onboarding, catalog maintenance, and governance operations to improve metadata completeness, asset discoverability, and catalog adoption.
• Partnered with business users, analysts, and data teams to educate them & at times went into investigation of metadata discrepancies, lineage gaps, and data discovery challenges, improving access to trusted datasets.
• Helped stakeholders identify authoritative data sources when multiple datasets existed for the same business entity, reducing reporting inconsistencies and confusion.
• Supported data lineage investigations to help business teams understand data origins, transformations, and downstream reporting impacts during issue resolution.
• Worked closely with enterprise customers to troubleshoot metadata ingestion failures and lineage generation issues, minimizing disruptions to governance processes.
• Assisted Data Quality and Observability initiatives using Anomalo by investigating anomalies, validating datasets, and supporting root-cause analysis activities.
• Collaborated with business and analytics teams to assess potential reporting impacts from data quality issues before they affected operational and strategic decision-making.
• Developed automation solutions using Alation APIs, Python, PySpark, and Azure Databricks to streamline metadata management, documentation, and governance workflows.
• Enabled self-service analytics by improving metadata documentation, asset descriptions, and catalog usability for business consumers.
• Supported Azure Databricks administration including clusters, SQL Warehouses, access provisioning, and governance-related activities within data platform environments.
• Worked with Azure Data Factory pipelines and Azure Key Vault to support secure, governed, and reliable data platform operations.
• Led incident and change management activities through ServiceNow, ensuring SLA compliance and operational stability for governance and data platform services.

Bachelor of Technology - Computer Science Engineering - Pranveer Singh Institute of Technology (PSIT) (2018 - 2022)