Vera Atirajyam

• Shape and execute the data strategy for Smart Factory within Pet Nutrition Division
• Collaborate with cross-functional and cross-regional teams to develop and implement SF strategies.
• Implement and ensure adherence to global architectural and data standards and principles for Pet Nutrition Data & Analytics products across all regional markets.
• Lead a collaborative team working with other areas within the wider Data & Analytics function to ensure that all solutions are complete, operable, conform to business processes, and meet the business needs with the agreed quality of service.
• Own Smart Factory (PN) Enterprise data model (Logical/physical): - Deliver data model for digital twin. - Unifying data from various sources into a single, standardized structure for easy access and analysis across an organization.

During my tenure at Accenture, I had the opportunity to work with several prominent clients, including Aldermore Bank PLC (UK), Virgin Media O2 (UK), and Solvay Chemicals (EU). My responsibilities across these engagements included:

• Designing and implementing detailed architectural solutions tailored to client needs.
• Developing data models, mappings, and data lineage documentation.
• Creating and deploying Quality Assurance frameworks to ensure data integrity and consistency.
• Designing and implementing data governance solutions, including data dictionary management, data security, and encryption of sensitive information.
• Architecting and building scalable data pipeline solutions.
• Leading various data initiatives, such as developing data lakes and data oceans, to consolidate and onboard domain-specific data elements onto a unified platform.
• Collaborating closely with the Data Ingestion team to build metadata-driven ingestion frameworks, stakeholder management.
• Stakeholder mgmt

• Assessed and triaged new requirements, providing impact analysis and accurate estimates for modifications to data models in alignment with solution designs and business needs.
• Developed and enhanced business-level physical data models to support evolving requirements.
• Delivered comprehensive data mapping documentation to support integration and transformation efforts.
• Maintained and enhanced existing data models, serving as their custodian, and ensuring consistency and alignment across initiatives.
• Led day-to-day physical data modeling activities within the delivery team, ensuring adherence to design standards.
• Ensured that all developed data models conformed to established data architecture principles and organizational standards.
• Designed and implemented data solutions that effectively addressed business requirements while aligning with the target state architecture.

• Conducted a comprehensive system analysis and design to support business and technical objectives.
• Led the design and configuration of Ab Initio ETL solutions, including data mapping, transformation, and loading in complex, high-volume data environments.
• Designed and developed custom solutions to address unique, challenging business requirements.
• Built reusable Ab Initio frameworks to streamline development efforts and improve efficiency.
• Delivered detailed technical design specifications and end-to-end solutions to address specific business use cases.
• Interpreted business and technical requirements, performed advanced data analysis, and provided actionable recommendations to achieve targeted outcomes.
• Model data assets through the creation of conceptual and logical data models to support solution architecture.
• Analyze and document data flows and data asset lifecycles to ensure a comprehensive understanding and governance.

During my tenure at Cognizant (UK), I had the opportunity to work with several top clients, including the Financial Conduct Authority (UK), Columbia Threadneedle Investment (UK), Swedbank (Sweden), Schwarz Group (Germany), and Inmarsat (UK). My role encompassed a wide range of responsibilities across data engineering, data governance, and solution architecture.

• Engaged directly with business stakeholders to understand complex business use cases, and translate them into actionable data solutions
• Designed data models aligned with Data Vault 2.0 (DV2.0) methodology to support scalable and flexible data architectures.
• Authored comprehensive design documentation, data mapping specifications, and interface contracts.
• Developed scalable big data processing jobs using Talend Big Data Suite and orchestrated workflows using Apache Oozie.
• Designed and implemented reusable Ab Initio frameworks, including performance tuning and system integration testing.
• Conducted impact assessments (IA) and provided accurate effort estimations and resolution planning for change requests.
• Reviewed design documents to identify risks, assumptions, and dependencies, and communicated them to stakeholders.
• Delivered complete artifacts including data models, mapping specifications, and low-level design (LLD) documentation.
• Led data discovery activities to align technical solutions with business requirements and documented end-to-end data process flows.
• Acted as a key contributor in identifying and resolving data quality issues using techniques such as error detection, correction strategies, and process re-engineering.
• Conducted data management maturity assessments, identifying critical gaps in data governance, metadata management, and master data practices.
• Provided thought leadership in data governance strategy development, offering best practices, frameworks, and future-state vision.
• Defined data policies, data quality KPIs, standards, data cataloging practices, and lineage documentation.
• Collaborated with Enterprise Architects and Subject Matter Experts (SMEs) to define Master Data Management (MDM) strategies, including golden record creation through match/merge rules.
• Analyzed source data as per business specifications and documented AS-IS and TO-BE data process flows.
• Played a central role in early project phases, contributing to high-level design and requirements analysis.
• Designed and developed robust ETL solutions using Talend and Ab Initio, ensuring scalability and maintainability.
• Performed root cause analysis and impact assessments to ensure quality and reliability of data solutions.
  - Facilitated playback sessions with Data Governance teams to align implementation with compliance and data stewardship requirements.

• Define and drive the data analytics strategy in alignment with business goals.
• Act as a thought leader in data-driven decision making across the organization.
• Identify opportunities for leveraging data to drive business innovation and efficiency.
• Lead the development of best practices, standards, and frameworks for analytics and data governance.
• Design and develop complex analytical models and algorithms using large datasets.
• Lead exploratory data analysis and advanced statistical modeling to uncover insights and trends.
• Guide the design and implementation of data pipelines, ensuring efficient data processing and
  transformation.
• Oversee the creation of data visualizations, dashboards, and reporting solutions.
• Serve as a mentor and technical lead for a team of data analysts
• Provide guidance on data quality, model performance, and best practices in analysis and reporting.
• Foster a culture of data literacy and analytical thinking across business units.
• Collaborate with cross-functional teams (Product, Engineering, Finance, Marketing, etc.) To understand their data needs.
• Ensure data integrity, quality, and compliance with relevant regulations. - Lead initiatives in data governance, metadata management, and data stewardship.
• Define and monitor data quality KPIs, and oversee remediation efforts for data issues.