Chukwuka Akibor
Verified Expert in Engineering
Data Engineer and Developer
Edinburg, TX, United States
Toptal member since December 12, 2024
Chukwuka is a senior data engineer with 5+ years of expertise in designing, developing, and operationalizing data engineering and analytics solutions at an enterprise scale. He is proficient in leading technical teams to implement end-to-end data products across platforms like Palantir Foundry, AWS, and Tableau. Chukwuka is also skilled in data modeling, warehousing, and building scalable solutions using Python, SQL, and PySpark.
Portfolio
Experience
- Visual Studio Code (VS Code) - 6 years
- Agile Project Management - 5 years
- Python 3 - 5 years
- PySpark - 3 years
- Code Review - 3 years
- Palantir - 3 years
- Slate - 3 years
- Kubernetes - 2 years
Availability
Preferred Environment
Palantir, Code Review, Slate, Linux, MacOS, Visual Studio Code (VS Code), Slack
The most amazing...
...thing I've developed is an AI-powered CI/CD automation web application that revolutionizes how developers manage their CI/CD pipelines.
Work Experience
Senior Software Engineering Consultant
ALTEN Group
- Increased client satisfaction by 30% by collaborating with stakeholders to design workflows and improve existing processes for aircraft manufacturing functions, ensuring alignment with business objectives.
- Led a global team of nine engineers across India and Germany, coordinating activities through Jira and Kanban boards to drive Agile methodologies, delivering data transformation projects on time with a 25% reduction in cycle times.
- Improved process transparency and manageability by 40% by developing distributed ETL pipelines using Palantir Code Repositories and Pipeline Builder, enabling efficient scheduling and triggering of builds through Palantir Data Lineage.
- Boosted data transformation efficiency by 35% by designing and implementing data models from various data formats, including JSON, TXT, Word, XLSX, and CSV—automating boundary data frame conversions and writing custom code in Code Repositories.
- Reduced compute costs by 20% by connecting Palantir Foundry to S3 buckets to load transformed files with incremental updates. Loaded processed data from S3 into tables to support seamless integration with web applications.
- Utilized Palantir Fusion sheets to design data models and create phonograph tables for write-back capabilities. Used Code Workbook to analyze and transform data in an intuitive graphical interface, increasing team productivity by 20%.
- Developed interactive dashboards using Palantir Contour and Slate. Leveraged Slate's drag-and-drop functionality to build operational applications, interactive dashboards, and custom landing pages, reducing development time and cost by 25%.
- Integrated Foundry with 3rd-party BI tools such as Power BI and Qlik Sense via custom connectors and ODBC/JDBC drivers, providing seamless data access and enhancing decision-making processes across multiple platforms.
Full-stack Developer
Share A Chair
- Designed and implemented ETL processes on cloud platforms like AWS and GCP, optimizing data pipelines for improved data flow efficiency—reducing operational costs by 15%—and ensuring reliable data integration for customer-facing applications.
- Developed and maintained responsive web applications using Next.js, Node.js, and Tailwind CSS, delivering a 25% faster page load time and enhancing the user experience across devices.
- Built dynamic APIs and database schemas using Express.js and MongoDB, supporting real-time data interactions and improving application scalability by 30%.
- Reduced time spent on debugging and updates by 40% after refactoring legacy codebases and introducing modular architecture to enhance maintainability and reduce technical debt.
- Achieved a 95% on-time project completion rate by streamlining collaboration and delivery through Agile methodologies and using Trello boards to coordinate tasks across a multidisciplinary team.
Project Engineer
DeltaTek Offshore
- Developed and optimized data pipelines for hydrocarbon exploration using Python and SQL, integrating unstructured and semi-structured data from multiple sources, improving data processing efficiency by 25%.
- Managed engineering project plans and fiscal budgets, ensuring timely project delivery and efficient resource allocation and process optimization, reducing costs by 15%.
- Designed and implemented solutions for real-time monitoring of offshore equipment using IoT data streams, enhancing predictive maintenance capabilities and reducing equipment downtime by 20%.
- Collaborated with cross-functional teams, including geologists, engineers, and data analysts, to drive data-driven decision-making processes, improving project outcomes and client satisfaction.
- Increased reporting efficiency by 40% after leading the automation of reporting workflows, replacing manual processes with dynamic dashboards and automated summaries.
- Established data governance frameworks for hydrocarbon data management, ensuring compliance with industry standards and enhancing data quality and integrity.
Experience
AI-powered Web Application
https://github.com/Chukwuka1488/AI-Powered-Web-AppThis project is part of a larger initiative to automate CI/CD workflows, enhance security, and improve development teams' efficiency. The application allows developers to input their GitHub or GitLab repository URL and, with a single click, automatically sets up a secure CI/CD pipeline, builds a Docker image, tags it, and pushes it to a central repository for management.
Education
Master's Degree in Business Administration (MBA)
University of Texas Rio Grande Valley - Edinburg, TX, USA
Master's Degree in Computer Science
University of Sunderland - Sunderland, England
Master's Degree in Environmental Engineering
Technical University of Darmstadt - Darmstadt, Germany
Bachelor's Degree in Petroleum Engineering
University of Benin - Benin, Nigeria
Certifications
Certified Kubernetes Administrator (CKA)
Cloud Native Computing Foundation (CNCF)
AWS Certified Cloud Practitioner
Amazon Web Services
Python from Scratch
Software Development Academy
Skills
Libraries/APIs
PySpark, Google Sheets API, Stripe, Node.js
Tools
Excel 2016, Microsoft Excel, ChatGPT, Google Workspace, Zapier, Bubble, Tableau, Git, Jira, Shell, AWS IAM, AWS Cost Explorer, AWS CLI, Kubernetes Operators, Slack
Languages
Python 3, JavaScript, HTML, CSS, Python, SQL, Excel VBA, R, Fortran, HTML5, TypeScript, CSS3
Paradigms
Automation, DevOps, Business Intelligence (BI), Agile Project Management, Scrum, Kanban, Text Retrieval, Software Testing, Design Patterns
Storage
Data Pipelines, PostgreSQL, Database Architecture, Amazon Aurora, MySQL, MongoDB, Databases, Cloud Deployment, Amazon S3 (AWS S3), NoSQL, Database Programming
Frameworks
Express.js, Angular 2, Next.js, Flask
Platforms
Kubernetes, Docker, Google AppSheet, Amazon Web Services (AWS), Azure, Palantir Foundry, Google Cloud Platform (GCP), Blockchain, AWS Cloud Computing Services, Linux, MacOS, Visual Studio Code (VS Code)
Industry Expertise
Retail & Wholesale
Other
Code Review, Slate, Online Data Entry, Inventory Tracking, Data Entry, Data Analysis, Data Scraping, Excel Add-ins, Programming, Data Engineering, Software Engineering, GitOps, Palantir, Web UX, Data Cloud, Inventory Management, Networking, Data Science, Customer Insights, Website Data Scraping, Machine Learning, Data Warehousing, AI Marketing, Economics, Business Research, Information Systems, IT Project Management, Cisco Networking, Machine Language, Deep Learning, Web Development, APIs, Microsoft Office, Research, Statistical Methods, Mathematics, Engineering, Business Requirements, Software Development Lifecycle (SDLC), CSS5, CI/CD Pipelines, SAP ERP, Lean Project Management, Primavera P6 Professional Project Management, HSE, Office 365, Cloud, Cloud Services, AWS Database Management System, Containerization, Node Clusters, Kubernetes Security, Large Language Models (LLMs), Front-end, Artificial Intelligence (AI), Data Structures, Algorithms, Cloud Computing
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