ChabezTech LLC

• Support ongoing & upcoming client initiatives across North America
• Collaborate with internal teams
• Manage client engagements
• Deliver tailored solutions to meet client needs

SAP Global Trade Services Consultant

Implementation Specialist

• Design, build, and maintain robust, scalable ETL pipelines to extract, transform, and load trading and market data from multiple source systems into enterprise data platforms
• Configure and integrate enterprise data systems to ensure seamless data flow and optimal performance of analytical and surveillance models
• Apply deep knowledge of financial markets—including equities, fixed income, FX, and derivatives—to ensure accurate data mapping and transformation
• Implement frameworks to validate and monitor data completeness and accuracy, reducing false positives and maintaining data integrity
• Collaborate with business and technology stakeholders to enhance performance, introduce automation, and drive efficiency improvements
• Investigate and resolve complex data issues, perform root cause analysis, and provide production system support
• Partner with compliance, risk, trading, and technology teams to improve data flows and surveillance effectiveness
• Create and maintain comprehensive technical documentation, including data lineage, mappings, and ETL processes

ETL Implementation Engineer

Analytics Engineer

• Design, build, and maintain robust and scalable data ingestion pipelines (ETL) to extract, transform, and load trading and market data into the TradingHub platform from various source systems.
• Configure and integrate the TradingHub platform, ensuring seamless data flow and optimal performance of surveillance models and custom controls.
• Apply a deep understanding of financial markets, including equities, fixed income, FX, and derivatives, to ensure accurate data mapping and transformation.
• Implement a strategic data quality framework to validate and monitor the completeness and accuracy of trading data, addressing any issues to prevent false positives in surveillance alerts.
• Collaborate with technology and business stakeholders to enhance data pipelines and system performance, introducing automation and advanced analytics where appropriate.
• Investigate and resolve complex data-related issues, perform root cause analysis, and provide technical support for production systems.
• Work cross-functionally with compliance, trading, risk, and other technology teams to continuously improve data flows and overall surveillance effectiveness.
• Create and maintain technical documentation related to data mapping, data lineage, and ETL processes.

ETL Developer Lead, Consultant

Account Manager

• Serve as the primary relationship manager for Databricks, fostering collaboration across sales, partner success, marketing, and technical teams.
• Develop and execute a joint business plan with Databricks that includes revenue goals, solution development, and go-to-market activities.
• Align services and accelerators with Databricks’ product roadmap to ensure joint differentiation in the marketplace.
• Drive joint pipeline creation by coordinating co-selling motions with Databricks field sellers and partner account managers.
• Identify, qualify, and pursue joint opportunities in target accounts, ensuring smooth collaboration between sales teams and Databricks counterparts.
• Provide enablement to sales teams on Databricks value propositions, use cases, and partnership benefits.
• Work with marketing to create joint campaigns, events, and thought leadership (webinars, case studies, success stories) that showcase the value of the partnership.
• Secure and maximize Market Development Funds (MDF) from Databricks to support joint demand generation initiatives.
• Promote the organization as a leading Databricks services partner through strategic positioning in Databricks’ partner ecosystem and marketplaces.
• Collaborate with delivery teams to ensure successful Databricks implementations and customer outcomes.
• Help identify opportunities to expand services footprint with existing Databricks customers.
• Capture and share customer success stories with Databricks to deepen the partnership.
• Maintain a regular cadence of business reviews with Databricks and leadership.
• Track and report KPIs, including joint pipeline, closed-won revenue, marketing ROI, and partner satisfaction.
• Stay up-to-date on Databricks programs, certifications, incentives, and partner initiatives.

Partner Manager

Data Engineer

• Design, implement, and optimise machine learning solutions to solve complex problems and enhance product offerings.
• Develop and implement machine learning models using frameworks such as TensorFlow and Spark.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Conduct data mining and analysis to identify trends and insights.
• Design and maintain databases, ensuring efficient data storage and retrieval.
• Write clean, maintainable code in languages such as Python, Java, C, and R.
• Utilise cloud services like AWS for deploying machine learning applications.
• Implement natural language processing techniques to enhance user interaction with AI systems.
• Perform regular testing and validation of models and document processes and methodologies.

Data Engineer, AI/ML

Artificial Intelligence

• Develop and expand strategic relationships with leading retail companies to deliver Big Data, Analytics, and AI-driven solutions.
• Build trusted partnerships with senior stakeholders (C-level executives, supply chain heads, merchandising, marketing, and IT) to enable long-term account growth.
• Serve as the primary point of contact for enterprise retail accounts, ensuring client satisfaction, value delivery, and repeat engagements.
• Partner with delivery, product, and solution teams to design and deliver data-driven solutions tailored to retail clients.
• Leverage retail domain knowledge (supply chain, merchandising, digital commerce, customer analytics, store operations) to provide consultative insights.
• Maintain a strong pipeline of retail opportunities, forecast revenue accurately, and report key performance metrics to leadership.
• Drive digital transformation initiatives and align solutions with client needs.
• Travel for client meetings, industry events, and workshops as required.

Director of AI & Data Services – Retail

Backend Engineer

• Lead the design, development, and deployment of MuleSoft APIs and integrations using Anypoint Studio and API Manager . Architect and implement integration solutions connecting .NET applications , cloud services, and third-party systems. Define API specifications, reusable components, and integration patterns aligned with enterprise standards. Provide technical leadership, mentorship, and code reviews for the integration development team. Ensure best practices for performance, security, scalability, and maintainability. Collaborate with business stakeholders, enterprise architects, and DevOps teams to deliver high-quality solutions. Manage integration deployments and troubleshoot production issues, ensuring minimal downtime.