Daniel Chime
About Candidate
Passionate Data Engineer with multiple years of experience optimizing data workflows and implementing innovative solutions. Skilled in dbt, Airflow, and cloud platforms, I’ve contributed to cost savings, led cross-functional collaborations, and championed data governance. Actively seeking opportunities in a dynamic work environment that values continuous learning, collaborative teamwork, and offers avenues for professional growth.
Location
Education
B.Sc Computer Science
Grade: Second Class Degree, Uppers Division.Grade: Second Class Degree, Uppers Division. Activities and societies: 1. Affiliate member of YASI community 2. Football Team Coach 3. One-time assistant course representative
Work & Experience
Data Analyst
1. Developed and implemented best practices for querying data, utilizing tools such as dbt and Airflow, resulting in a monthly cost reduction of $3,000 on cloud payments. 2. Designed and created hundreds of visually appealing dashboards using Google Data Studio, Tableau, Excel, and Power BI, enhancing data visualization and increasing the operational efficiency of various other departments like the Finance and Customer Suppor departments. 3. Conducted multivariate data analysis, including regression analysis, ANOVA, discriminant analysis, and clustering, to provide actionable insights into customer behavior. 4. Collaborated with financial analysts to extract and analyze data for monthly financial reconciliations, ensuring accuracy and compliance with regulatory standards. 5. Developed ETL pipelines for efficient data movement from production databases to the data warehouse.
Data Analyst & Business Development Officer
1. Identified and collected data from diverse sources, including spreadsheets, databases, and web scraping, resulting in a 30% increase in data availability for analysis. 2. Utilized Python and SQL to clean and preprocess data, removing outliers and transforming data types, resulting in a 25% improvement in data quality. 3. Developed interactive Data Visualizations using Tableau and Excel, facilitating data-driven decision-making and improving stakeholder engagement. 4. Collaborated with engineers and analysts to develop data-driven solutions to business problems, resulting in a 15% increase in operational efficiency.
