• Designing the architecture for clients.• Helping companies migrate and adapt cloud services. • Working with multiple clients to accomplish their data-related goals by implementing visualization tools, and developing and deploying infra for data.• Building Data Maturity models to help companies achieve their future data goals.• Mentoring the data staff on best data practices and solution implementation.

• Lead Data Engineering, Data Science, and Business Intelligence for the company.• Recruited, managed, and mentored a team of skilled data professionals. • Build the data architecture including data mart and data lake for the company from the ground up.• Implement the data governance and data security model for data sharing/accessing with internal stakeholders and external clients.• Reduced Relational databases cost to 4x by normalizing databases, moving non-relational data to… Show more • Lead Data Engineering, Data Science, and Business Intelligence for the company.• Recruited, managed, and mentored a team of skilled data professionals. • Build the data architecture including data mart and data lake for the company from the ground up.• Implement the data governance and data security model for data sharing/accessing with internal stakeholders and external clients.• Reduced Relational databases cost to 4x by normalizing databases, moving non-relational data to no-SQL and cache storage, and implementing data retention policies on the databases.• Worked on improving customer location and delivery routes via ML.• Provide Real-Time data aggregations from various sources for multiple microservices.• Improved customer satisfaction by providing a self-serve platform for ad hoc reporting needs.• Led the POC of all data-related solutions including vendor management for the data products.• Improved driver payout cycle (AP) by integrating data from various sources and doing real-time calculations of the payable amount.• Integrated data from various products including Microsoft Dynamics 365 to give the management an overall financial bird eye view. Show less

• Revamped the data architecture of the company to make it future proof.• Building real-time data processing platform to leverage business decision makingand operations.• Develop data architecture framework, strategy, policies, and standards to govern how technology solutions will be implemented and managed.• Translates enterprise or business requirements into long-term data architecture solutions, including conceptual, logical, and physical models.• Design data quality… Show more • Revamped the data architecture of the company to make it future proof.• Building real-time data processing platform to leverage business decision makingand operations.• Develop data architecture framework, strategy, policies, and standards to govern how technology solutions will be implemented and managed.• Translates enterprise or business requirements into long-term data architecture solutions, including conceptual, logical, and physical models.• Design data quality policies and data-dictionary.• Fostering the data-driven mindset by implementing event analytics.• Build platform for Data Science. Show less

• Responsible for R&D of the big data platform.• Driving innovations by keeping current on emerging technology and data trends.• Kappa architecture for data streaming and to populate near real-time Data Lake andData warehouse.• Build self-serve data applications on top of the big data platform to empower business users and help them in making fast and effective decisions.• Mappings workflows as per the business requirement to implement the logic that will beimplemented… Show more • Responsible for R&D of the big data platform.• Driving innovations by keeping current on emerging technology and data trends.• Kappa architecture for data streaming and to populate near real-time Data Lake andData warehouse.• Build self-serve data applications on top of the big data platform to empower business users and help them in making fast and effective decisions.• Mappings workflows as per the business requirement to implement the logic that will beimplemented in the ETL/ELT.• Has a specialist role in one or more data environments like data warehousing, real-time data access, and data integration.• Usage of server-less architecture to effectively scale up the infrastructure. Show less

• Worked as a bridge between Engineering and Business, responsible for business systems integration and business KPI of systems.• Provide technical expertise in designing features and identifying issues that impact release and service delivery.• Worked closely with Product Owners to bring an engineering perspective to the development project teams; and on requirements, solution design, issue identification and resolution, and problem-solving and planning related to production issues and… Show more • Worked as a bridge between Engineering and Business, responsible for business systems integration and business KPI of systems.• Provide technical expertise in designing features and identifying issues that impact release and service delivery.• Worked closely with Product Owners to bring an engineering perspective to the development project teams; and on requirements, solution design, issue identification and resolution, and problem-solving and planning related to production issues and software releases.• Identify security and performance issues at multiple layers of deployment, fromhardware, operating environment, network, and application.• Establish and monitor Business key performance benchmarks.• Perform detailed, proactive ownership for supported systems, including configurations and monitoring.• Help Careem gain captain and customer trust by fixing 99% bugs in major components. Show less