About Me
Personal Profile
Hi there. My name is Daniel Chime and I'm a passionate Data Engineer with 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.
I enjoy building functional programs with Python and discovering key insights to help businesses thrive.
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🔭 Working on creating dynamic data pipelines, designing aesthetic and informative dashboards, analysing big data to produce insight, and constantly debugging 😅
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🌱 Mastering Cloud Data Engineering with GCP and AWS
Work Experience
BuyPower Inc
Data Engineer
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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.
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Designed and created hundreds of visually appealing dashboards using Google Data Studio, Tableau, Excel, and Power BI, enhancing data visualisation and increasing operational efficiency of various other departments like the Finance and Customer Suppor departments..
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Conducted multivariate data analysis, including regression analysis, ANOVA, discriminant analysis, and clustering, to provide actionable insights into customer behaviour.
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Collaborated with financial analysts to extract and analyse data for monthly financial reconciliations, ensuring accuracy and compliance with regulatory standards.
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Developed ETL pipelines for efficient data movement from production databases to the data warehouse.
Awesome Data Analytics Global Concept
Data Analyst
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Identified and collected data from diverse sources, including spreadsheets, databases, and web scraping, resulting in a 30% increase in data availability for analysis.
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Utilized Python and SQL to clean and preprocess data, removing outliers and transforming data types, resulting in a 25% improvement in data quality.
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Developed interactive Data Visualizations using Tableau and Excel, facilitating data-driven decision-making and improving stakeholder engagement.
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Collaborated with engineers and analysts to develop data-driven solutions to business problems, resulting in a 15% increase in operational efficiency.
HiiT Plc
Data Analyst
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Learned and applied core Data Science skills and wrote simple Machine learning modules using Python including Simple Linear Regression, K means clustering, Bag-of-words models, and so on.1.
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Wrote Python Scripts and Modules, accompanied by adequate knowledge of Data structure and Algorithms, for developing applications
January 2022 - Present
Oct 2021 - Jun 2023
Jan 2020 - Nov 2020
