SAMUEL NWACHUKWU

Data Engineer

Lagos, Nigeria, Lagos, Nigeria.

About

Experienced Data Analyst transitioning into Data Engineering with 5+ years of expertise in optimizing data workflows, building scalable data pipelines, and automating complex processes. Proficient in SQL, Python, and cloud platforms like GCP, Samuel excels at collaborating with cross-functional teams to deliver efficient data solutions that drive data-driven business decisions and improve strategy execution.

Work

Sensory Byte

|

Data Analyst/Engineer

Remote, Nigeria, Nigeria

→

Summary

Led the design and implementation of robust data pipelines and cloud-native workflows on GCP, significantly enhancing data availability and processing efficiency for analytics and business intelligence.

Highlights

Engineered and deployed data pipelines using Airflow and dbt for orchestration and transformation, reducing processing time by 30% and enabling near real-time data availability.

Implemented cloud-native data workflows on Google Cloud Platform (GCP) with BigQuery, Cloud Composer, and Cloud Storage to streamline data ingestion and transformation processes.

Modernized a 6-hour legacy ETL pipeline into a 40-minute real-time system using Pub/Sub, Dataflow, and BigQuery, leveraging Git for auditable, peer-reviewed development.

Developed scalable ETL pipelines with Python and SQL to process over 25M transactional rows daily, boosting data availability for analytics teams by 80%.

Led technical discovery workshops with enterprise clients, translating business needs into modular, scalable data architecture designs across retail, fintech, and healthcare sectors.

Itel Mobile Nigeria

|

Data Analyst

Onsite, Nigeria, Nigeria

→

Summary

Designed and maintained executive-level dashboards and built reusable data models, empowering leadership with real-time insights and improving strategic decision-making across the business.

Highlights

Built reusable data models using dbt and Snowflake for self-service analytics, reducing manual report generation time by over 75% for analyst teams.

Designed and maintained 20+ executive-level dashboards in Power BI, integrating data from SQL Server and cloud APIs to deliver real-time KPI visibility and reduce reliance on static reports.

Performed basket analysis and upsell trend modeling with Python (mlxtend) and SQL, increasing average order value by 14% and improving marketing ROI.

Implemented Git-based version control with dbt and GitHub, enhancing data governance, audit trails, and cross-team collaboration.

Collaborated with product, marketing, and engineering teams to redesign the user engagement analytics pipeline, reducing reporting errors by 60% and increasing data confidence.

D-Upstream Management

|

Procurement Assistant

Onsite, Nigeria, Nigeria

→

Summary

Developed data management systems and conducted in-depth market research to optimize procurement operations and enhance business targeting strategies.

Highlights

Developed data management systems that improved procurement operations by 15%, ensuring alignment with industry best practices in data governance.

Conducted in-depth market research and customer behavior analysis using SQL and Python, refining targeting strategies and achieving a 15% improvement in ROI.

Analyzed procurement trends and vendor performance, optimizing selection processes and mitigating risks.

Collaborated with stakeholders to identify and resolve data bottlenecks, enhancing reporting accuracy and decision-making processes.

Education

AltSchool Africa

Online, ,
→
Diploma Data Engineering Grade:

Coursera

Online, ,
→
Certificate Data Analytics Grade:

University of Port-Harcourt

Port-Harcourt, Rivers State, Nigeria
→
Bachelor of Engineering (B.Eng.) Chemical Engineering Grade:

Skills

Data Engineering & Pipelines

Data Engineering, Pipeline Development, ETL, Airflow, dbt (Data Build Tool), Data Ingestion, Data Transformation, Real-time Systems, Pub/Sub, Dataflow, BigQuery.

Cloud Platforms

AWS, Google Cloud Platform (GCP), Azure, Cloud Composer, Cloud Storage.

Data Governance & Quality Assurance

Data Governance, Quality Assurance, Data Validation, IAM Policies, VPC Service Controls, Git, GitHub.

Programming & Databases

Python, R, SQL, Microsoft SQL, MySQL, PostgreSQL, SQLite, MongoDB, Pandas, NumPy, mlxtend.

Data Analysis & Visualization

Data Analysis, Data Visualization, Tableau, Power BI, Excel, Seaborn, Matplotlib, Predictive Modeling, Basket Analysis, Upsell Trend Modeling.

Process Optimization & Collaboration

Automation, Process Optimization, Problem Solving, Cross-functional Collaboration, Technical Discovery Workshops, Data Architecture Design.

Other Tools

SPSS, MS Office Suite (Excel, PowerPoint, Word).

Projects

Full-Stack Student Management System

→

Summary

Developed a comprehensive full-stack student management system to manage enrollment, course tracking, and performance metrics.

NoSQL E-commerce Product Database

→

Summary

Built a NoSQL e-commerce product database designed to house and retrieve unstructured catalog data.