Bhanu prasad

Bhanu prasad

Lead Data Governance Consultant
India
[email protected]
+91 9591841008
Full-time Hybrid

About Me

Lead Data Governance & Data Quality Consultant with 14+ years of experience in Banking & Financial Services, specializing in Data Quality transformation, BCBS239 compliance, and regulatory reporting. Proven expertise in …

Experience

Lead Data Product Management Consultant

Wells Fargo · Bengaluru , Karnataka , India
May 2021 - Present · 5 years 6 months

<p>Architected governed Databricks Lakehouse pipelines (Bronze → Silver → Gold) using Delta Lake and Unity Catalog, enabling secure access, lineage tracking, and audit-ready compliance.</p><p> Established semantic modeling with dbt across Finance domains, improving consistency and reducing reporting latency by 25%.</p><p> Designed DQ scorecards and reconciliation frameworks on Databricks, reducing audit exceptions by 30% and improving reporting timeliness by 20%.</p><p> Implemented PySpark Auto Loader for schema-aware ingestion from ADLS Gen2, eliminating manual file tracking and enabling near real-time data availability.</p><p> Optimized Databricks cluster costs via autoscaling and spot instances, cutting compute spend by 20% while maintaining SLA performance.</p><p> Provided architecture oversight for sourcing, conformance, retention, and evidence management, ensuring compliance with BCBS 239, CCAR, FR Y-14, and FR Y-9C.</p><p> Pioneered AI-driven engineering practices (python) to automate glossary indexing, lineage validation, and governance workflows.</p><p> Developed governance evidence automation using semantic search and AI-driven lineage validation, reducing manual audit preparation effort by 40%.</p><p> Mentored engineering teams in Spark/PySpark and modern DataOps practices, building internal capability for scalable platform delivery.</p>

Lead Data Product Management Consultant

Wells Fargo · Bengaluru , Karnataka , India
May 2021 - Present · 5 years 6 months

<p>Architected governed Databricks Lakehouse pipelines (Bronze → Silver → Gold) using Delta Lake and Unity Catalog, enabling secure access, lineage tracking, and audit-ready compliance.</p><p> Established semantic modeling with dbt across Finance domains, improving consistency and reducing reporting latency by 25%.</p><p> Designed DQ scorecards and reconciliation frameworks on Databricks, reducing audit exceptions by 30% and improving reporting timeliness by 20%.</p><p> Implemented PySpark Auto Loader for schema-aware ingestion from ADLS Gen2, eliminating manual file tracking and enabling near real-time data availability.</p><p> Optimized Databricks cluster costs via autoscaling and spot instances, cutting compute spend by 20% while maintaining SLA performance.</p><p> Provided architecture oversight for sourcing, conformance, retention, and evidence management, ensuring compliance with BCBS 239, CCAR, FR Y-14, and FR Y-9C.</p><p> Pioneered AI-driven engineering practices (python) to automate glossary indexing, lineage validation, and governance workflows.</p><p> Developed governance evidence automation using semantic search and AI-driven lineage validation, reducing manual audit preparation effort by 40%.</p><p> Mentored engineering teams in Spark/PySpark and modern DataOps practices, building internal capability for scalable platform delivery.</p>

Lead Data Product Management Consultant

Wells Fargo · Bengaluru Urban , Karnataka , India
Jan 2021 - Present · 5 years 9 months

<p>Led Data Quality remediation initiatives aligned to BCBS239, FR Y-14, FR Y-9C, CCAR requirements.</p><p> Delivered RTP actions by defining DQ rules, reconciliation frameworks, and edit checks to strengthen compliance.</p><p> Conducted discovery and assessment of high-risk processes, identifying gaps and driving remediation strategies.</p><p> Implemented metadata management, lineage, and business glossary in Collibra, enhancing audit readiness.</p><p> Collaborated with business and technology teams to improve DQ tools (Collibra, Rosetta, DQMA) and automate validation.</p><p> Drove digitisation initiatives to reduce manual DQ and metadata management activities.</p><p> Developed executive dashboards and scorecards to monitor DQ KPIs, SLA compliance, and remediation progress.</p><p> Acted as a liaison between Finance, Risk, Regulatory, QA, and Engineering teams, ensuring delivery of governance and compliance outcomes.</p>

Business Analyst Lead

APAR Technologies (Client: Equinix) · Bengaluru , Karnataka , India
Apr 2020 - May 2021 · 1 year

<p>Implemented and administered enterprise Hadoop and Databricks clusters, ensuring high availability, scalability, and governed access.</p><p> Designed ingestion pipelines for FILE and RDBMS sources into Databricks Lakehouse, enabling unified data access and downstream analytics.</p><p> Established metadata management and lineage tracking for ingestion workflows, improving audit readiness and compliance.</p><p> Automated data backup, restore, and cluster rebalancing processes, reducing downtime and ensuring business continuity.</p><p> Directed commissioning/decommissioning of nodes and optimized HDFS/Delta Lake storage utilization, improving cluster performance by 20%.</p><p> Defined data governance controls for ingestion, reconciliation, and backup clusters, ensuring compliance with enterprise standards.</p><p> Monitored ingestion failures, job delays, and pipeline alerts, implementing proactive remediation to reduce SLA breaches by 30%.</p><p> Partnered with stakeholders to establish data quality rules and dashboards in JIRA/Power BI, enabling transparent governance reporting.</p>

Business Analyst Lead

APAR - Client : Equinix · Client : Equinix
Jan 2020 - Jan 2021 · 1 year

<p>Led Teradata migration with end-to-end data validation of 10M+ records.</p><p> Performed ETL testing, reconciliation and UAT ensuring data integrity.</p><p> Collaborated with business stakeholders and engineering for production deployments.</p>

Senior Technical Analyst

UST Global (Experian Malaysia & Maersk UK) · Bengaluru , Karnataka , India
Aug 2016 - Apr 2020 · 3 years 8 months

<p>Supported Teradata-to-Hadoop modernization with metadata validation, lineage, and remediation across 30+ TB.</p>

Senior Lead Business Analyst

Maersk · London
Jan 2019 - Jan 2020 · 1 year

<p>Supported Teradata-to-Hadoop modernization with governance-focused data mapping.</p><p> Executed migration validation, reconciliation and testing for 30TB+ data.</p><p> Managed Agile delivery and stakeholder communication.</p>

Senior Data Consultant

Comtel Solutions (OCBC Bank Singapore) · Singapore , Singapore , Singapore
Apr 2016 - Jul 2016 · 2 months

<p>Supported banking data warehouse transformation, regulatory validation, lineage, and Finance reconciliation.</p>

Senior Technical Analyst

UST Global (Maersk Denmark & Bank Mandiri,Jakarata) · Bengaluru Rural , Karnataka , India
Feb 2014 - Apr 2016 · 2 years 2 months

<p>Led stewardship, validation, and automated reconciliation for trusted reporting.</p><p> Performed ETL testing, data quality validation, reconciliation, SIT/UAT, and deployment support.</p>

PROJECTS

NA

ust · NA
Duration : 03-Jun-2025 - 03-Sep-2026

<ul><li><ul><li>Architected governed Databricks Lakehouse pipelines (Bronze → Silver → Gold) using Delta Lake and Unity Catalog, enabling secure access, lineage tracking, and audit‑ready compliance.</li><li>Established semantic modeling with dbt across Finance domains, improving consistency and reducing reporting latency by 25%.</li><li>Designed DQ scorecards and reconciliation frameworks on Databricks, reducing audit exceptions by 30% and improving reporting timeliness by 20%.</li><li>Implemented PySpark Auto Loader for schema‑aware ingestion from ADLS Gen2, eliminating manual file tracking and enabling near real‑time data availability.</li><li>Optimized Databricks cluster costs via autoscaling and spot instances, cutting compute spend by 20% while maintaining SLA performance.</li></ul></li></ul><p></p>

Skills

Data Quality Data Governance Regulatory Reporting Informatica MDM ETL Data Lineage Collibra GCP SQL BCBS239 FR Y-14 FR Y-9C CCAR FFIEC 2052A Metadata Management Business Glossary Rosetta DQMA Snowflake Azure Databricks Teradata Hadoop BigQuery AWS Consulting Requirements Gathering Agile Delivery Executive Reporting Cross-functional Influence Automation Source-to-target mapping Reconciliation Data validation Data migration Data warehousing Oracle DB2 SAS SQL Server Python PySpark Unix Power BI Tableau Airflow ADF API Integration Workflow Orchestration Enterprise Data Architecture ELT Metadata Lineage Data Quality Governance Risk & Control Self-Assessment RCSA Cloud Modernization AI-Enabled Engineering Generative AI Regulatory Compliance Audit Readiness Data Privacy Confidentiality Controls Databricks Lakehouse Delta Lake Unity Catalog Records Retention DPN DLP Data Mesh Dremio RAG LangChain DBT BCBS 239 FR Y14 Git Agile JIRA OKRs MBOs Looker Spark Auto Loader ADLS Gen2 Data Leakage Protection FILE
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