o
okparakenneth

Kenneth

@okparakenneth

I will build data etl pipeline that will extract and move your data

Nigeria
Inglés
Parte de la información aparece en idioma inglés.
Sobre mí
I'm a Data Engineer who turns raw data into actionable insights. I specialize in designing and building data pipelines, cleaning and transforming datasets, and managing end-to-end data workflows that power analytics and decision-making. What I Offer: - ETL/ELT Pipelines using Python, SQL, Apache Spark, Airflow - Data Cleaning & Transformation (PySpark, Pandas, DataFrames) - Database Integration (PostgreSQL, MySQL) - Cloud Services: AWS, Azure (Data Factory, Databricks, Data Lake, Synapse Analytics) - Data Extraction: APIs, Web Scraping, CSV/JSON/Parquet handling - Automated Reporting ... Lee más

Habilidades

o
okparakenneth
Kenneth
desconectado • 
Tiempo medio de respuesta: 1 hora

Revisa mis servicios

Extracción de datos
I will do python web scraping, data scraping, data mining, web scraper
Extracción de datos
I will scrape product data from amazon, ebay, etsy and ecommerce stores

Porfolio

Experiencia laboral

Data Engineer

10Alytics • Tiempo parcial

Jul 2025 - Present10 mos

Provided letters of recommendation and other referrals to students pursuing further programs or employment. Developed easy and open rapport with students to encourage engagement and academic progress. Used variety of learning modalities and support materials to facilitate learning process and accentuate presentations. Evaluated and revised lesson plans and course content to achieve studentcentered learning. Lectured Web Technology and Management Info System in the computer science department. Reviews students' projects before final submission.

Data Engineer

Huawei Technologies • Tiempo completo

Dec 2022 - May 20252 yrs 5 mos

• Monitored and maintained ETL workflows, reducing downtime by 35% through proactive issue detection and resolution. • Led the migration of on-premise data systems to Huawei cloud platform, ensuring a 25% reduction in infrastructure costs for MTN and improved system reliability. • Implemented cloud-native solutions that increased data availability and reduced query response times by 40%, enabling faster access to critical insights for GLO’s business teams. • Automated recurring ETL processes, reducing manual intervention by 80%, saving approximately 200 hours per quarter, and lowering operational costs. • Worked closely with data scientists, analysts, and business teams from MTN, Airtel, and GLO to deliver high-quality, clean datasets for advanced analytics, improving model accuracy by 15%.