Joel Kalonji
ENTERPRISE DATA ENGINEER
Seattle,WA
Summary
Detail-oriented Data Engineer, develops and maintains highly scalable, secure and reliable data structures. Accustomed to working closely with system architects, software architects and design analysts to understand business or industry requirements to develop comprehensive data models. Proficient at developing database architectural strategies at the modeling, design and implementation stages.
Overview
14
14
years of professional experience
2025
2025
years of post-secondary education
Work History
Enterprise Data Engineer
Boeing
01.2023 - Current
- Designed and executed data pipelines leveraging Azure Data Factory and Data Explorer, facilitating the extraction and transformation of structured and unstructured data sources for supply chain analytics
- Implemented Product Lifecycle Management (PLM) systems to seamlessly integrate product data with business processes and systems Ontology and Taxonomy
- Applied Machine Learning concepts to enhance the enterprise Data Strategy, actively contributing to the implementation of MLOps practices
- Designed and implemented knowledge graphs using cloud-based database solutions, specializing in Neo4j and exploring alternatives like Neptune, and Cosmos DB for knowledge graph applications
- Implemented and optimized graph data models (LPG, RDF), ensuring alignment with enterprise strategies data ontology and taxonomy
Data Science & Analytics
Microsoft
01.2019 - 01.2023
- Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling that were used to deepen design solutions for Governance and Risk Compliance (GRC), security operations, and security posture management
- Developed and implemented comprehensive end-to-end solutions for fraud detection and anomaly detection, harnessing the power of Neo4j and a Graph database to strengthen risk mitigation strategies
- Analyzed complex data sets using advanced querying, visualization, and analytics tools
- Oversaw a cross-functional team of data engineers, data scientists, and data analysts to scope and build internal Fraud Detection analytical tools on the multicloud infrastructure platforms
- Executed the creation and revision of business and functional requirement documents and effective version control through Git and GitHub
Business Analyst
Boeing
01.2014 - 01.2019
- Captured a savings of $4.9M in 2017 by identifying and mitigating risks and opportunities to the production line with the creation of Tableau dashboards
- Conducted trade promotion optimization by leveraging Sales Driver analysis, product affinity, competition, price elasticity, and market basket analysis leveraging regression and clustering
- Collaborated closely with supply chain analysts, utilizing Power BI and SQL to develop and deliver data-driven insights that drive informed decision-making
Financial Analyst
Boeing
01.2014 - 01.2019
- Gathered requirements and created reports to support 40,000 global customer’s operations in meeting strategic goals; performed risk assessments and anticipated emerging issues
- Maintained compliance processes including the creation and delivery of weekly/monthly reports, analyzing the report data, and communicating with global stakeholders
- Evaluated and reported compliance related business performance and fulfilled ad hoc analysis; assisted Procurement and Supply Chain organizations to achieve goals and initiatives with budgeting, planning, and forecasting
- Effectuated cross-functional analysis to identify opportunities and risks across business units
Finance Analyst
Washington Federal Bank
01.2011 - 01.2014
- Supported 120 branches in compiling financial information to maximize productivity
- Assisted branches with deposit operations of $500,000/day; assisted with account receivable and payable function in support of the monthly close process
- Reconciled daily branch activities in key accounts to balance general ledger
- Optimized operation for finance and cash flow, margin, and productivity
- Led business development and implementation of refined data with a set of algorithms and applied ML to automate the process on a big dataset
Education
Master - Applied Statistics/Data Analytics
Western Washington University
Bellingham, WABachelor of Business Administration - Finance
University of Washington
Seattle, WASkills
AWS
Leadership Experience
Teals Program/ Volunteer, 01/01/20, 12/31/21, Technology Education and Literacy in School (TEALS) is a Microsoft Philanthropies program that builds sustainable CS Program in high schools. Focusing on serving students excluded from learning CS because of race, gender, or geography. TEALS helps teachers learn to teach CS by pairing them with industry volunteers and proven curricula.
Timeline
Enterprise Data Engineer
Boeing
01.2023 - Current
Data Science & Analytics
Microsoft
01.2019 - 01.2023
Business Analyst
Boeing
01.2014 - 01.2019
Financial Analyst
Boeing
01.2014 - 01.2019
Finance Analyst
Washington Federal Bank
01.2011 - 01.2014
Bachelor of Business Administration - Finance
University of Washington
Master - Applied Statistics/Data Analytics
Western Washington University