Venkat Dayala Email & Phone Number

Palo Alto, CA, US

Mountain View, California, United States

• Avco Consulting is a full-service technology consulting, systems development, and outsourcing company offering world-class IT consulting, system integration, and solution development services to enhance business value.
• Established AI-driven business analytics practice and developed high-performance engineering teams, comprising 25 on-site and 40 offshore engineers. Practice I projected to improve revenue growth of 12% ARR by 2025.
• Built strategic alliances with leading technology partners and industry experts, enhancing practice capabilities and market positioning.
• Formulated a comprehensive 2-year and 5-year strategic growth roadmaps, including go-to-market (GTM) strategies and product and service pricing models. Spearheaded 2 new product service offering to support SMB clients.
• Improved operational efficiency through resource restructuring, process standardization and delivery re-alignment resulting in a projected OpEx reduction of 5-10% by Q1 2025.
• Provided visionary leadership for global teams, fostering a culture of excellence and continuous improvement.

Greater Minneapolis-St. Paul Area

• Strategic planning & execution: Lead the development and execution of comprehensive data strategies and roadmaps, ensuring alignment with organizational objectives to drive significant business value.
• Implement robust data practice standards to ensure compliance and improve operational efficiency, contributing to reduced IT data pipeline build and maintenance costs.
• Product & Project Management: Oversee the technical lifecycle of data products and projects, from ideation through deployment, ensuring high-quality deliverables that meet client growth needs and exceed expectations..
• Technical Execution: Provided high-level technical direction for architecture, design, integration, and development.
• Cross-functional Collaboration: Champion collaborative efforts among data scientists, engineers, and business stakeholders to deliver mission-critical data systems.
• Risk Management & Mitigation: Identify potential risks and implement proactive strategies to mitigate them, ensuring project continuity and success.

Greater Minneapolis-St. Paul Area

• Data and system integration for new business entities. Data Migration from RB4 to RB5 Consumer portal and Client
• Set up standards and protocols for best practice ETL process and error management for efficient process control and data accountability.
• Designed and implemented data traceability process and process recovery process with minimal turnaround time.
• Collaborated with key business users and technical team to design, develop and implement customer-centric solutions.
• Interacted with upstream teams to design and develop the new system adaptation.
• Incorporated new technique into the existing process to make it more efficient,.

Greater Minneapolis-St. Paul Area

• Managed project team at Boston Scientific to leverage Software Development Lifecycle (SDLC) process methodology to execute end-to-end PeopleSoft to SAP migration project; increased information accessibility and.
• Served as on-site Architect/Tech Lead for a health technology company; partnered with development team to execute a multi-phase data and systems integration allowing the implementation of a new market strategy
• Built predictive analytics system for Boston Scientific to calculate pacemaker and defibrillator failure probability; improved accuracy by additional 15% on beyond required 70% acceptable accuracy
• Architected and built enterprise customer care metrics framework for Best Buy, delivering data migration and enhanced customer comprehensive intelligence system
• Partnered with international cross-functional teams at foodservice and environmental safety company to architect, design, and build service application modules for Australia and New Zealand, greatly expanding system.

Minneapolis

• Set up standards and protocols for best practice ETL process and error management for efficient process control and data accountability.
• Set up Informatica admin standard and protocols.
• Designed and implemented data traceability process and process recovery process with minimal turnaround time.
• Technical lead for Billing & Receipting system conversion project. In house billing system to an external vendor system (SBC).
• Extensively worked with cross function teams and business units.
• Actively involved in testing

• Informatica upgrade/migration – installation and setup environments from Ver 8.6 to Ver 9.1.Installed and setup MetaData Manager and Reporting service environment.
• Set up standards and protocols for best practice ETL process and error management, for efficient process control and data accountability.
• Design and architected ETL process and data quality process for Profitable Revenue Optimization –Analytics project.
• Participated on MDM tool evaluation and scale effectiveness to the current business process and data requirements. Provided business with feedback reports and recommendations with vendor/tool selection.

• Architecture and build customer insight model data flow and progressive system.
• Integrated internal ECC data systems with 3rd party vendor data system ( Clarabridge).
• Architecture and build Enterprise Customer Care Metrics framework model for integrated data view for Customer, Financial and Operational data sources.
• Orchestrated data migration effort. Did risk, cost and effort analysis. Designed contingency plans to stabilize the risk

• Architecture and build dynamic resource allotment system- Throttling.
• Build user controlled stream that support multiple teams to optimize resource usage without system crashes. Controlled workflow runs based on custom user preference.
• Made Design changes to existing ETL processes to be more robust and manageable.

• Designed and built new interfaces to support existing Cognos Row Level Security.
• Worked extensively with cross-functional teams to identify and understand the data’s business value, structures and granularity to accurately translate between systems.
• Altered the existing data model to support the new security system requirements.

• Managed a wide range of responsibilities, which included the whole business intelligence and data warehouse life cycle. Analyzed, designed, enhanced and supported existing decision making applications.
• Was responsible for design and architecture of a transition model for existing process and applications to adapt to the changing upstream data source and application.
• Played a key role in understanding business requirements and molding the current system to leverage warehouse data. Designed new methods and process to help focus the resources to achieve optimal operations in terms of.

• Performed extensive process and schema analysis and made design alteration to achieve a highly managed data environment within the existing enterprise data model. Designed and altered ETL frameworks, components and.
• Designed and built new work environments to accommodate and support immediate and future project initiations. Performed software upgrades across the enterprise.
• Re-defined and base lined data warehouse data quality and process standards. Includes design methodologies, code standards, process acceptance criteria, error handling and recovery standards.

• Developed a completely automated analysis system. The system enhances the product trend analysis capable of analysis data collected over 30 years on a nightly basis and trigger alerts for trends crossing over.
• Developed interface ETL to replace an existing legacy data processing system. The system operates in real-time environment. The interface forms a backbone framework to support the existing data warehouse systems and.

Greater New York City Area

• Management personnel from financial and marketing groups used the interfaced data for validation and the IT department for data warehouse development. The project was aimed to form a major bridge for data exchange and.
• Build interfaces and data validation processes to support PWC compliance applications.

Master Of Business Administration - Mba

Master'S Degree, Applied Computer Science

Bachelor Of Engineering - Be, Computer Engineering