Mubashir Ghafoor Abbasi (MG)

Senior Data Architect

HiveWorx•  January 2022 - Present

Lead the design and development of enterprise data architecture, including data modeling, database design, and data integration strategies. Collaborate with business stakeholders to understand data requirements and develop solutions that meet their needs. Create and maintain data governance policies, procedures, and standards to ensure data quality, accuracy, and security. Provide technical leadership to data engineering teams, ensuring that best practices are followed and that solutions are scalable and reliable. Work with other architects and technical leaders to ensure that data solutions are integrated with other enterprise systems and applications. Evaluate new technologies and tools for managing and processing data, and recommend solutions that align with business goals and objectives. Mentor junior team members and promote a culture of continuous learning and improvement. Develop and maintain relationships with vendors, contractors, and other external partners to ensure that data architecture solutions are delivered on time and within budget. Participate in strategic planning and provide input on long-term data management and analytics initiatives. Ensure compliance with regulatory and industry standards for data management and privacy.

Lead Data Modeler

HiveWorx•  April 2016 - December 2022

Mentoring and managing a team of data modelers, providing guidance and coaching to help them develop their skills and meet their career goals. Developing and implementing best practices for data modeling, data quality, and data governance to ensure that the organization's data assets are well-managed and reliable. Collaborating with business stakeholders to understand their data needs and requirements, and translating those needs into effective data models that support business goals. Staying up-to-date with emerging trends and technologies in data modeling and related fields, and identifying opportunities to apply them to improve data management practices. Contributing to the development of data-related policies and standards, and ensuring that they are followed across the organization. Participating in data-related projects and initiatives, providing expertise and guidance on data modeling and related topics.

Lead Data Engineer

HiveWorx•  January 2015 - December 2022

Designing, developing, and maintaining data infrastructure: This involves working on data pipelines, ETL processes, and data warehouses that enable the storage, retrieval, and analysis of data. Managing data quality and governance: This involves ensuring that the data is accurate, consistent, and compliant with regulations and industry standards. Building and leading a team of data engineers: This involves recruiting, training, and mentoring data engineers to ensure that they have the necessary skills and knowledge to perform their job functions effectively. Collaborating with cross-functional teams: This involves working closely with data scientists, product managers, and other stakeholders to understand their data needs and provide solutions to address them. Staying up-to-date with emerging technologies and trends: This involves researching and evaluating new technologies and tools that can enhance the data engineering process and improve data quality. Creating and maintaining documentation: This involves creating and maintaining documentation that outlines the data engineering processes, procedures, and standards to ensure consistency and scalability. Managing project timelines and deliverables: This involves overseeing the project timeline and ensuring that deliverables are met within the allocated time frame.