Ekemini Otu

EKEMINI OTU Data Engineer | Data Scientist | Python Developer Abuja, Nigeria | Open to Remote Worldwide GitHub: github.com/EkeminiImeOtu | YouTube: Programming Tutorials Channel ● AVAILABLE IMMEDIATELY · OPEN TO FULL-TIME, CONTRACT & FREELANCE · REMOTE WORLDWIDE PROFESSIONAL SUMMARY Multi-disciplinary data professional with nearly 5 years of experience combining Data Engineering, Data Science and Python automation. Recently completed a 4-year, 8-month role at 7seer (Aug 2021 — April 2026) and now fully available for remote roles worldwide. Builds production-grade ETL pipelines, real-time streaming systems and machine learning prediction models. Certified by ALX Africa (Data Analytics, Python Programming) and DataTalks.Club (Data Engineering Zoomcamp). Member of AI Saturdays Abeokuta — part of the global AI6 movement. Programming educator with a YouTube channel teaching Python, Java, Scratch and MIT App Inventor. Former Teach For Nigeria Fellow. Ready to start immediately. CORE SKILLS Data Engineering: Apache Airflow, dbt, Snowflake, AWS (S3, EC2, SSM, SNS, IAM), Docker, Terraform Streaming: Apache Kafka, Apache Spark, PySpark Structured Streaming Data Science / ML: Scikit-learn, Random Forest, Classification, Regression, Predictive Modelling Web Scraping: Selenium, Playwright, BeautifulSoup, Scrapy, Octoparse, Requests Visualisation: Power BI, Streamlit, Matplotlib, Seaborn Languages: Python, SQL, Java, Scratch Libraries: Pandas, NumPy, Boto3, Scikit-learn, Flask Containerisation: Docker, Docker Compose Teaching: Python, Scratch, Java, MIT App Inventor for kids, teens and adults PROFESSIONAL EXPERIENCE Data Specialist, Automation & Data Engineer 7seer | August 2021 — April 2026 (4 yrs 8 mos) Started as a Data Specialist focused on web scraping and automation, then progressively took on full data engineering responsibilities — designing, building and operating production-grade pipelines while completing the DataTalks.Club Data Engineering Zoomcamp. Data Engineering work (2025 — 2026): • Built Netflix ETL Pipeline: automated batch pipeline ingesting 87,000+ rows daily from AWS S3 through Apache Airflow and layered dbt models into Snowflake. Real-time Slack and AWS SNS alerts. Containerised with Docker on AWS EC2. • Built Real-Time Streaming Pipeline: live event processing using Apache Kafka and PySpark Structured Streaming. Processes events in 15-second micro-batches into Snowflake. • Built Olist E-Commerce Analytics: end-to-end analytics platform on 1.5 million rows. Python ingestion from S3, 11 dbt models across staging and mart layers, Power BI executive dashboard. Automation & data extraction (2021 — 2025): • Built web scraping pipelines using Selenium, Playwright, BeautifulSoup and Octoparse to extract structured data from complex websites at scale. • Developed API integration workflows connecting multiple data sources and automating data transfer between systems. • Containerised automation workflows with Docker for reliable, reproducible deployments. • Delivered Python training to junior developers covering automation and data extraction. • Transformed raw unstructured web data into clean, analytics-ready datasets for client business decisions. All data engineering projects fully documented and open-sourced on GitHub. Programming Educator & Content Creator Independent / YouTube | 2021 — Present (Part-time, side activity) • Teaches Python, Scratch, Java and MIT App Inventor to kids, teens and adults. • Creates and publishes structured programming tutorials on YouTube channel. • Demonstrates ability to communicate complex technical concepts clearly to all audiences. Data Scientist — Community Projects AI Saturdays Abeokuta (AI6) | 2019 — 2021 Member of the global AI Saturdays movement, a community-driven initiative making AI education accessible worldwide with 5,000+ participants across 100+ cities. Built and deployed machine learning prediction models solving real-world problems: • Diabetes Prediction Web App: ML classification model deployed as interactive Streamlit web application for early diabetes risk assessment. • Multiple Disease Prediction System: Predicts multiple diseases from patient data using classification algorithms. • Hotel Bookings Cancellation Prediction: Predicts cancellation likelihood to help hotels optimise revenue and resource allocation. • Flight Price Prediction: Forecasts flight prices using multiple machine learning algorithms and feature engineering. • Flowers Classification Model: Image classification system using Random Forest. Fellow Teach For Nigeria | 2019 — 2021 Competitively selected for Teach For Nigeria, part of the global Teach For All network placing high-achieving graduates in underserved communities. • Mentored secondary school students with measurable learning outcomes. • Developed leadership, communication and stakeholder management skills. Chemistry & Basic Science Teacher (NYSC) Federal Government Secondary School | 2017 — 2018 Completed Nigeria's mandatory National Youth Service Corps programme as a Chemistry and Basic Science teacher, developing strong communication and presentation skills. CERTIFICATIONS DataTalks.Club — Data Engineering Zoomcamp Completed April 2026 ALX Africa — Data Analytics (6-Month Programme) Issued August 2025 ALX Africa — Python Programming (8-Week Training) Issued November 2025 ALX Africa — Professional Foundations Issued April 2025 EDUCATION Bachelor's Degree University of Uyo | 2012 — 2016 KEY PROJECTS Netflix ETL Pipeline Stack: Airflow, dbt, Snowflake, AWS, Docker, Python Real-Time Streaming Pipeline Stack: Kafka, Spark, Snowflake, Docker, Python Olist E-Commerce Analytics Stack: dbt, Snowflake, Power BI, AWS, Python Diabetes Prediction Web App Stack: Python, Scikit-learn, Streamlit, Machine Learning Multiple Disease Prediction System Stack: Python, Scikit-learn, Classification, Streamlit Hotel Bookings Cancellation Prediction Stack: Python, Pandas, Scikit-learn, Machine Learning