Udaya Kumar Mehta

Project Brief:

NuoData: NuoData is a groundbreaking solution for data modernization and governance. Its user-friendly platform is crafted to simplify the intricate process of migrating data across diverse systems. Tailored for non-technical end-users, NuoData effectively streamlines the complexities of handling and transferring data within the business landscape.

Petsmart: The project focuses on strengthening PetSmart's operational resilience through gap analysis, implementing robust practices, and automating workflows.

• Recognizing tech initiatives with the potential to address clients' key focus areas or enable new capabilities
• Drafted conceptual and logical data models for high-level system planning tasks, optimizing each model to customers' needs and budgets.
• Facilitating review of research on emerging technologies to enhance client capabilities
• Reviewing effort estimations and establishing product performance benchmarks
• Managed budgets effectively, achieving financial objectives while maintaining strict control over expenditures.
• Ensuring adherence to quality and compliance guidelines in project deliverables
• Overseeing project deliverables to guarantee alignment with quality standards and compliance requirements
• Performing resource planning, work allocation, and project tracking
• Managing recruitment, appraisal processes, and succession planning to build a robust team.
• Collaborating with cross-functional teams to develop and execute a strategic roadmap for hybrid cloud infrastructure and applications
• Design and implement advanced CI/CD pipelines, leveraging automation and orchestration tools for streamlined deployment and testing
• Collaborating with stakeholders to define and implement DevOps processes and strategies across the organization
• Acting as subject matter expert across different digital projects
• Working with data infrastructure to triage infra issues and drive them to resolution
• Collaborating with internal clients (data science and product teams) to drive solutions and POC discussions
• Increased team productivity by implementing streamlined processes and effective communication strategies.
• Reduced operational costs through comprehensive process improvement initiatives and resource management.
• Facilitated successful cross-functional collaborations to complete key projects, fostering strong working relationships among team members.
• Developed strong company culture focused on employee engagement, collaboration, and continuous learning opportunities.
• Led change management initiatives to drive organizational transformation without compromising employee morale or productivity.
• Streamlined workflows by identifying bottlenecks in existing systems and proactively addressing these challenges by implementing appropriate solutions.
• Built high-performing teams through effective recruitment, onboarding, and talent development initiatives.
• Maintained positive customer relations by addressing problems head-on and implementing successful corrective actions.
• Assisted in organizing and overseeing assignments to drive operational excellence.
• Defined clear targets and objectives and communicated to other team members.
• Leveraged data and analytics to make informed decisions and drive business improvements.
• Developed database architectural strategies at modeling, design, and implementation stages to address business or industry requirements.

Project Brief: PetSmart is a leading American chain of pet superstores offering a comprehensive range of pet products, services, and small pets. NucleusTeq, as a committed partner, aims to assist PetSmart in overcoming data challenges, facilitating strategic decisions, assisting with cloud migration, minimizing downtime, and improving overall operational efficiency.

• Conceptualized and secured buy-in for product ideas, conducted project kick-offs, and finalized scopes with detailed Statements of Work (SOW)
• Played a pivotal role in setting the strategic direction for projects
• Performed effort estimations, set quality guidelines, strategically planned resources, and reported project status to upper management.
• Ensured effective project execution, meeting quality standards and timelines
• Managed recruitment, appraisals, and succession planning for building proficient teams aligned with ongoing Statements of Work
• cross-trained existing employees to maximize team agility and performance.
• Prepared client proposals, identified cross-sell opportunities, and collaborated with data teams for optimized data pipelines and technology capabilities.
• Business-IT Alignment and Technical Expertise: Translated business requirements into technical specifications, automated infrastructure deployment, and defined data governance policies
• It has enhanced customer satisfaction by resolving disputes promptly, maintaining open lines of communication, and ensuring high-quality service delivery.
• Ensured alignment between business goals and technical capabilities
• Performed root cause analysis, extracted, and modeled data, collaborating with cross-functional teams to establish a robust data platform
• Contributed to data-driven decision-making processes
• Conducted extensive system upgrades and migrations, leveraging cloud technologies (GCP, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, EMR)
• Established and maintained effective working relationships with both executive management and front-line employees
• It has fostered a collaborative and communicative work environment, enhancing organizational cohesion.
• It enhanced data quality by designing and implementing efficient data models, schemas, and storage techniques.
• Streamlined data flow by integrating various data sources into a unified system for seamless access and analysis.
• Reduced redundant processes by automating ETL tasks, increasing productivity, and minimizing human error.
• Conducted thorough root-cause analysis on complex data issues, proposing practical solutions that align with business objectives.
• Optimized resource allocation by analyzing system utilization patterns and recommending infrastructure adjustments accordingly.
• Identified process improvement opportunities through regularly monitoring system performance metrics, driving continuous optimization efforts.

Project Brief: The Digital Offer Ecosystem comprises a suite of applications facilitating the delivery of digital offers to cardholders worldwide through big data platforms. It encompasses applications supporting various stages of the digital offer life cycle, including offer setup, offer eligibility setup, personalized offer recommendation, and offer redemption. Additionally, it features applications promoting small business merchants, aligning with initiatives such as Amex's Shop Small Saturday, which categorizes and promotes small businesses across various US locations.

• Led and managed QA teams, overseeing deliverables, fostering team growth, and providing strong leadership.
• Spearheaded efforts to migrate legacy systems onto modern platforms while preserving historical records and ensuring seamless integration into existing workflows.
• Managed vendor relationships to ensure timely delivery of software updates, patches, and other necessary components for maintaining optimal system functionality.
• Implemented effective resource allocation strategies to optimize team performance.
• Developed and executed resource allocation plans, ensuring optimal utilization of team member's skills and expertise.
• Conducted capacity planning to meet project requirements and deadlines
• Implement comprehensive manual, automated, and performance testing strategies.
• Maintain automated pipelines for code deployment using Jenkins CI/CD Pipeline Automation.
• Assist in creating strategies for tool development and promoting adoption.
• Cultivate strong relationships and coordinate across teams.
• Developed and executed data cleanup measures.
• Conducted thorough root cause analyses for recurring data issues, leading to targeted improvements in processes and systems.
• Championed the use of advanced analytics tools among team members, driving deeper insights into available datasets and facilitating better decision-making capabilities across all levels of management.
• Improved data quality by implementing robust validation processes and data standardization techniques.
• Enhanced data accuracy through the development of comprehensive data dictionaries and metadata repositories.
• Increased efficiency in data management by automating routine tasks using custom scripts and tools.
• Provided training to team members on best practices for maintaining high-quality data, increasing overall organizational competence in data management.
• Reviewed and assessed architecture design, implementation, testing, and deployment needs to identify project requirements and costs.
• Reduced errors in critical business decisions by proactively identifying data inconsistencies and ensuring their rectification.

• Specializing as an Automation Engineer for Medicaid products
• Crafted comprehensive test cases, test plans, and test data; delivered status reports to ensure accurate coverage of requirements and business processes
• Managed defect management/triage calls, maintaining bidirectional traceability from requirements to defects using HP ALM and Quality Center tools
• Engaging in Functional Testing and Regression Testing
• Creating complex SQL queries to verify data integrity from Source to Target
• Conducting data validation testing using Python and SQL utilities
• Implementing Mapping Variables, Mapping Parameters, Workflow Variables, and Session Parameters to extract additional data added during specific periods
• Authoring and modifying UNIX scripts and other SQL validation scripts, including writing SQL scripts to validate outputs
• Developing product test strategies, schedules, status reports, and test metrics, reducing customer defect ratio
• Devising a comprehensive Test Automation Framework to streamline manual testing processes
• Executing load test scenarios using JMeter and analyzing the results
• Mentored junior staff members in best practices for quality management, contributing to overall team growth and development.
• Facilitating communication between UAT team members, business leaders, and IT.
• Improved software development processes by introducing Agile methodologies and promoting cross-functional collaboration.
• Enhanced system performance with thorough code reviews, debugging, and optimization techniques.
• Implemented continuous integration and deployment strategies for faster release cycles and improved application reliability.
• Optimized resource allocation across multiple concurrent projects by closely tracking team capacity levels against project deadlines and milestones.
• Coordinated with cross-department teams like QA, DevOps, and Support to ensure a seamless end-to-end software delivery process.

• Diagnosing and resolving data issues through SQL queries and web service calls
• Monitoring and troubleshooting data integration platforms
• Monitoring and troubleshooting production application environments
• Designed, developed, tested, automated, and supported sophisticated data extraction, transformation, loading, and exposure solutions
• Designing staging tables as required
• Adhering to established standards and guidelines governing design, construction, testing, and deployment activities
• Collaborating with teammates on project planning, technical design, development, and solution deployment
• Collaborate with skilled data architects, software architects, and engineers to create robust and innovative data solutions
• Ensured compliance with industry best practices and company policies throughout all support activities undertaken by the team.
• Design and implement testing solutions that facilitate feature demos and partner testing in postproduction environments.
• Participated in post-mortem reviews after major incidents, identifying areas for improvement and implementing changes accordingly.
• Researched and identified solutions to technical problems.
• Assisted in developing new features by providing valuable user feedback to product teams based on client interactions.
• Generated reports to track performance and analyze trends.
• Conducted regular training sessions for team members to improve overall support quality and efficiency.
• Implemented automation tools to streamline workflows, reducing manual tasks and increasing productivity within the support team.