KENECHUKWU FRANCIS ILOEJE
West Haven, CT
860-***-**** • ****.*************@*****.***
https://www.linkedin.com/in/kenechukwu-iloeje/
DATA ANALYST / PUBLIC POLICY RESEARCH
Dynamic professional with over six years of experience in software engineering and data analytics, specializing in administrative coordination, and process optimization across diverse industries. Proficient in database management, reporting, and high-level analysis, combined with strong organizational and interpersonal skills. Skilled in managing complex systems, ensuring data integrity, and streamlining processes to drive operational efficiency and support organizational goals. Adept in creating executive summaries, designing and implementing scalable systems, ensuring data integrity, and enabling secure data migration in compliance with regulatory standards such as HIPAA. AREAS OF EXPERTISE AND SKILLS
Programming and Automation: Java (Core Java, Multithreading), Python (Pandas, NumPy), R programming, Shell Scripting, SDLC, JavaScript, ETL pipeline design Data Analytics & Reporting: Advanced proficiency in Power BI, Tableau, Streamlit, Excel (macros, pivot tables), SQL, Databricks, Data mapping, data migration, data validation and data visualization, Policy development
Data Management: MS SQL Server, MySQL, PostgreSQL, MongoDB, BigQuery Technologies: API integration, XML, DDL, Apache (Airflow, Spark, Kafka), Snowflake, Elasticsearch, AWS (S3, EC2, Lambda)
Software Development: SDLC, Agile methodologies, validation program creation, Jira, Confluence, MS Office Suite, Leadership
Platforms & Tools: Windows, Mac OS, Linux, Unix, IntelliJ, Eclipse, Postman, BIRT, J2html PROFESSIONAL EXPERIENCE
CAREER NOTE: (Available for full-time, contract, W-2 employment). Thinkmine – Hartford, CT • 01/2024 - 06/2024
Data Scientist/Analyst
Data Analysis and ETL Optimization: Led the design, development, and implementation of scalable ETL processes to transform and migrate large datasets for enterprise systems. Enhanced data integrity and ensured seamless integration with financial and government platforms while adhering to regulatory standards.
• Designed and developed ETL pipelines for high-volume data transformation and migration, achieving 100% compliance with HIPAA and encryption standards (AES 256+).
• Conducted quantitative analysis of financial and government datasets to support policy recommendations, achieving seamless data integration across platforms.
• Integrated Databricks with Kafka for real-time ingestion and Spark Streaming to transform and aggregate data into a structured format.
• Designed, developed, and implemented scalable ETL pipelines using Python, Apache Airflow, and SQL Server to transform and migrate large datasets, ensuring seamless integration and data quality for government and healthcare platforms.
• Utilized Snowflake to integrate disparate financial data sources and created data models that supported the development of interactive dashboards in Power BI. This project provided real-time insights into transaction trends, enabling the finance team to identify anomalies and improve transaction accuracy by 25%.
• Enhanced database performance through query optimization and indexing, reducing reporting latency by 25%.
• Built interactive dashboards in Power BI to track daily transaction volumes and highlight anomalies, providing actionable insights that improved transaction monitoring accuracy and increased team efficiency by 15%.
• Created clear documentation for data analysis processes, machine learning models, and dashboards, improving team collaboration, ensuring smooth project handovers, and reducing onboarding time for new team members by 30%.
Technologies: Python, Pandas, NumPy, Snowflake, Power BI, MS SQL Server, Apache Airflow, Tableau, XML, DML/DDL, PostgreSQL, MongoDB, MySQL, JavaScript, JSON, ETL Development, RESTful API VulcanTech – Remote • 02/2021 - 09/2024
Full Stack Java Engineer/DevOps
Financial Systems and Microservices Modernization: Spearheaded the transformation of legacy banking systems into a modern microservices architecture, enabling enhanced scalability, fault tolerance, and real- time financial operations. Designed and implemented cloud-native solutions to optimize application performance and improve transaction processing in the banking and finance domain. Leveraged cloud technologies and CI/CD pipelines to streamline deployments and optimize application efficiency.
• Delivered detailed reports and executive summaries on system performance and financial transaction analysis for stakeholders.
• Led the migration of monolithic applications to microservices architecture using Docker, Kubernetes, and AWS, achieved a 55% improvement in scalability and fault tolerance.
• Automated CI/CD pipelines using Jenkins and GitLab CI/CD, reducing deployment times by 40% and ensuring consistent, rapid deployment cycles with minimal downtime.
• Refactored monolithic architecture into modular, independent microservices using Java Spring Boot and Node.js, integrating AWS S3 for large dataset storage and AWS Lambda for event-driven file processing, improving response times by 40%.
AWS,
Technologies: Java, Spring Boot, Spring Security, Apache Kafka, JPA, MongoDB, DynamoDB, Angular, TypeScript, JavaScript, React.js, Node.js, Express.js, Jenkins, Docker, Kubernetes, AWS Lambda, AWS EC2, AWS S3, HTML, CSS, JSON, SOAP, XML, JWT, GitHub, AOP, Hibernate, Maven, Gradle, RESTful API, JPQL, PL/SQL
Byteworks Technology Solutions Limited – Nigeria • 12/2018 - 02/2021 Software Engineer
Revenue Automation and Optimization Project: Successfully delivered scalable, automated solutions to streamline data processing and financial systems, resulting in substantial revenue growth, enhanced operational efficiency, and improved system reliability. Focused on leveraging cutting-edge technologies to enhance system performance, data reliability, minimal downtime, and security in high-traffic environments while delivering exceptional value to stakeholders.
• Automated data processing pipelines using Python and Pandas for cleaning and transforming large datasets, reducing manual processing time by 40% and improving data consistency for financial analysis and revenue generation for government agencies.
• Designed and maintained robust microservices with Java Spring Boot, Apache Kafka, and PostgreSQL, improving data communication efficiency by 35% and ensuring zero downtime for revenue-critical processes.
• Led cross-functional collaboration to refine data management strategies, ensuring alignment with regulatory requirements and business objectives.
• Delivered high-quality solutions for government and healthcare clients, including MMIS data migration projects.
• Configured SSL and ACL on Kafka servers and mitigated multiple vulnerabilities (e.g., log4j-1.x CVEs, Spring RCE), reducing security risks by 70% and safeguarding revenue-sensitive systems. Technologies: Python, Pandas, NumPy, S Java, Spring Boot, Angular, TypeScript, Apache Kafka, PostgreSQL, AWS S3, AWS DynamoDB, AWS Lambda, Selenium, JUnit, Postman, AWS (CloudWatch, EC2, RDS), Redis, RESTful APIs, Microservices Architecture, SSL, ACL, Agile, Git, CI/CD (Jenkins, Bitbucket), OAuth2.0, Integration Testing, JSON, YAML, XML, Maven, Gradle, Hibernate ACADEMIC PROJECTS
University of New Haven, CT (2022-2024)
• Deep Learning – Vehicle Occupancy Parking Detection: Developed a deep learning model to detect and classify vehicle occupancy in parking lots, using PyTorch and computer vision techniques. Improved model accuracy by 25% through iterative evaluation, fine-tunning, and optimization.
• Natural Language Processing (NLP) – Conversational Chatbot with Memory: Designed and trained an NLP model for a conversational chatbot capable of maintaining context and memory across sessions. Evaluated and refined model responses to enhance user interaction and accuracy. EDUCATION
Master of Science in Data Science (GPA 3.66)
University of New Haven, CT
Bachelor of Engineering in Electrical/Electronic Engineering Enugu State University of Science and Technology, Nigeria CERTIFICATE
Oracle Certified Professional Java Programmer (OCPJP)