Vinju Velloth

Data Manager with 18+ years of experience in data migration, data quality, data strategy, and data governance, aligning enterprise data initiatives with business objectives. Expertise in IBM DataStage, Databricks, Master Data Management (MDM), ETL processes, enterprise data management, and modern data architectures. Proven ability to define and implement data governance frameworks, metadata management, and data lineage to support AML and regulatory compliance. Demonstrated success in leading cross-functional teams using Agile delivery models, managing onsite–offshore engagements, and overseeing large-scale programs with team sizes of 50+.

Data Manager with 18+ years of experience in data migration, data quality, data strategy, and data governance, aligning enterprise data initiatives with business objectives. Expertise in IBM DataStage, Databricks, Master Data Management (MDM), ETL processes, enterprise data management, and modern data architectures. Proven ability to define and implement data governance frameworks, metadata management, and data lineage to support AML and regulatory compliance. Demonstrated success in leading cross-functional teams using Agile delivery models, managing onsite–offshore engagements, and overseeing large-scale programs with team sizes of 50+.

Germany Experience Summary (1.5 years)

Directed ETL modernization program for ING Bank (Nuernberg office), migrating 3,000+ OWB jobs to DataStage and delivering a centralized Data Lake for the KYC (Financial Score), AML Module (Anti Money Laundering) & Regulatory Reporting.

US Experience Summary (3.5 years)

Worked with City Group (New York Office) (Global Wealth Management \ Financial Planning) & AIG (New Jersey Office) Leading the Reporting & Regulatory Data projects. 

Worked with BCBSLA (Louisiana LA) (Health Insurance) Technical Lead managing the project Financial Reports and the offshore team.

CORE COMPETENCIES

• Domain Experience – 10+ Years in Banking (Global Wealth Management, Investment Banking, Model Banking). Managed data strategy & governance for KYC (Financial Score), AML (Anti Money Laundering) and GDPR modules. Worked with data systems like FATCA, CRS, US Federal Tax systems ensuring compliance with regulatory mandates. 2+ Years in Reinsurance, Insurance and Health Insurance Systems.

3+ Years in Retail and Logistics domain, Hub Automation. 

• Technical Experience – Worked as a Solution Architect creating high Performance/Scalable ETL Jobs.

ETL Migration Expert, ETL Performance Tuning, Financial/Regulatory Reporting Expert, Data Pipeline Design, Data Modelling Star Schema (Erwin), Data Vault, MDM, KYC Risk Scoring, Anti Money Laundering (AML) & Enterprise Case Management Systems (ECM) systems, Architect, Design, Create & Load DataLake & Datawarehouse.

Python Experience (imperative & Declarative) Pandas, PySpark, SQLAlchemy, matplotlib for Data Engineering

Development & Support of Data Pipeline using imperative Python (Extract, Transform, Load) jobs

Python ETL Automation Framework

• Designed and developed a Generic metadata-driven ETL ingestion framework using Python and Pandas.
• Implemented schema validation, audit logging, reject-file routing, and job orchestration.

Databricks Lake Flow Spark Declarative Pipelines (SDP) experience: 

• Designed and developed Modern Data pipelines for Batch & Stream data Extraction, Transformation and Load in Bronze, Silver, Gold medallion Architecture using Declarative Python & SQL.
• Creation of materialised Views and Sinks for Analytics team, Usage of AI(Genie) for Analytic queries. 

Setting up RBAC, Performance tuning, familiar with Delta Lake features like schema enforcement, Validations, time travel, zero clone tables etc

• Manager Experience –Enterprise Data Management, Data Migration, Stake holder Management, Data Governance, Agile way of working

Batchelor of Engineering and Post Graduation in Advanced Computing