Samuel Amankwah
--With God all Things are possible
- Role
- Digital Data Manager Data Engineer at T-Mobile
- Location
- Kansas City, MO, US
- LinkedIn followers
- 500 followers
About Samuel Amankwah
Business Analyst, Data Analyst, and Data Governance Engineer with a strong background in requirements gathering, process improvement, dashboard development, and end-to-end data lifecycle management. Experienced in analyzing business needs, translating them into technical solutions, and delivering insights using SQL, Python, Power BI, and advanced analytics techniques. Skilled in designing scalable data models, optimizing data pipelines, and supporting enterprise governance through metadata management, access controls, and quality monitoring. Adept at collaborating with cross-functional teams to improve operational efficiency, enhance data reliability, and support strategic decision-making across the organization.In Addition, IT and Data Risk Professional with expertise in technology audit, systems governance, and data integrity. Skilled in identifying control gaps, assessing operational risk, and optimizing compliance processes across enterprise systems. Experienced with ERP/CRM systems (SAP, Sage 50, Oracle, Slate CRM), data visualization (Power BI, Tableau), and data management platforms (Databricks). Strong knowledge of IT general controls, IT security, data security, as well as analytics, business systems, and financial reporting. Currently pursuing CISA certification. Specialties: Business intelligence, data analytics, Financial analysis, AI and machine learning, data visualization, SQL database management, Databricks, Microsoft Visual Studio, Power BI, Tableau, Oracle, ERP systems, CRM systems, risk assessment, financial reporting, and process, Microsoft Azure
Experience
Digital Data Manager Data Engineer
Jul 2025 — Present · Overland Park, KS, US
Perform end-to-end quality assurance (QA) testing of digital tracking implementations to confirm compliance with data governance and business rulesContribute to software development lifecycles by advising on data collection standards and validating tracking during new feature launchesSupport analytics reporting by ensuring clean, structured, and actionable datasets for tools such as Power BI, Tableau, and Adobe Analytics.Designed, developed, and optimized ETL pipelines in Azure Data Factory and Databricks to process structured and unstructured data from multiple sources.Developed PySpark and SQL notebooks in Databricks for large-scale data transformation, cleansing, and aggregation.
Education
Avila University
Master's degree, Business Analytics
Kwame Nkrumah University of Science and Technology, Kumasi
Master's degree, Accounting and Finance
Kumasi Anglican Senior High School
WASSCE, Business/Commerce, General
Kumasi Technical University
Bachelor of Technology, Accounting with Computing
2019 — 2021
Kumasi Technical University
Higher National Diploma, Accounting with Computing
2016 — 2019
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