Jeremiah Offre Email & Phone Number

Nigeria

• Duties and Responsibilities: o Design and Implementation of data pipelines for data-driven products. o Writing SQL and Python scripts to manipulate data for data extraction, transformation and loading o Monitoring the automated loading processes and performing daily system checks. o Supplying qualitative and quantitative data for various units within the company e.g. corporate transformation, product management, and various back-office and branch facing units.• Achievements: o Developed a robust ETL pipeline that automated the extraction, transformation, and loading of student data from multiple sources (e.g., Learning Management System, Student Information Systems). *** Impact: Reduced data processing time by 78%, enabling real-time analytics and improving decision-making for the company clients(i.e Educators and Administrators). o Developed a scalable data architecture that accommodated a 100% increase in user data without reducing of performance. *** Impact: Supported the company’s growth and allowed for new product features to be developed quickly and efficiently. o Conducted workshops and training sessions for non-technical staff on data literacy and the use of analytics tools. *** Impact: Increased overall data literacy within the organization, fostering a culture of data driven decision-making. o Part of the MDM (Master Data Management Team) for data cleansing.

Lagos, Nigeria

DUTIES Design and implement systems to collect data from diverse sources, including databases, APIs, and external files. Identify and rectify inconsistencies, duplicates, or missing values in datasets to maintain high data quality. Write SQL queries, scripts, and utilize data processing frameworks (e.g., Apache Spark, Airflow) to process large datasets. Design, develop, and maintain data pipelines for Extracting, Transforming, and Loading (ETL) data from various sources into data warehouses (e.g., Google BigQuery, AWS Redshift, or Snowflake). Deploy data pipelines in cloud environments (GCP & Azure), ensuring scalability and cost-efficiency.ACHIEVEMENTS ***Reduced data pipeline execution time by 40% by optimizing data transformation logic and re-architecting inefficient workflows, leading to faster reporting times. ***PROJCET: Built a scalable ETL pipeline to process and load customer interaction data from multiple sources into a centralized data warehouse (Google Big-Query).

Lagos, Nigeria

 Worked with databases (SQL) to store, query, and analyze large datasets, ensuring high data availability and quality. Integrated data from APIs, CSV files, and other data sources into cloud storage, ensuring seamless data transfer and consistency. Created and maintained responsive web applications using front-end technologies such as HTML, CSS, JavaScript, React and Vue.js frameworks. Integrated RESTful APIs and managed data flows between front-end and back-end systems. Improved website performance and optimized page load times using techniques like lazy loading, code splitting, and image optimization. Collaborated on cross-browser testing and troubleshooting, ensuring consistent behavior across different browsers and devices.