Mirza Imamovic

Business Data Engieer at Kik-S Gmbh

Based in Vaihingen an der Enz, Germany

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Seniority

Other

Department

Other

Location

Vaihingen an der Enz

Industry

IT Services and IT Consulting

Company size

7

Contact information

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Email

1 credit

m•••••••@kik-s.de

Phone

5 credits

+49 ••• •••• ••••

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Background

About Mirza Imamovic

As a Business Intelligence Developer with a strong foundation in Data Engineering and Analytics, I am dedicated to transforming raw data into strategic assets that drive impactful decision-making. My expertise spans the design, implementation, and maintenance of data pipelines, dashboards, and reporting solutions. Leveraging a diverse tech stack—including Azure Databricks, Data Factory, Synapse Analytics, SQL, PySpark, Power BI, SSIS, and SSAS—I build robust, scalable BI solutions tailored to unique business needs.Currently at KIK-S GmbH, I focus on delivering customized data solutions for the energy and utilities sector. My role involves translating complex industry requirements into actionable insights through advanced data models, ETL processes, and analytics tailored for public service clients. By enhancing SSIS and SSAS packages and adapting solutions within Microsoft Dynamics Business Central, I ensure data accessibility and reliability for critical business processes.Previously at oneLake, I honed my skills in data integration and dimensional modeling, working on end-to-end data solutions from raw ingestion to Power BI reporting. This experience reinforced my commitment to data quality, efficiency, and performance in analytics environments.In addition to my professional experience, I completed a part-time Master’s in Data Science and Business Analytics at Hochschule der Medien Stuttgart. This program provided a solid academic foundation in advanced analytics, machine learning, and business intelligence, along with practical skills in:Machine Learning Operations (MLOps): Deploying and managing ML models in production.Business Intelligence and Self-Service Analytics: Empowering stakeholders through self-service BI frameworks.Data Engineering & Big Data Architectures: Building scalable data pipelines to process large datasets efficiently.Data Governance, Ethics, and Compliance: Ensuring responsible and compliant data management practices.Web Technologies and Business Analytics Models: Integrating web data and developing predictive models for business insights.Certified in Azure Data Fundamentals and Azure Fundamentals, I am passionate about leveraging my technical and analytical skills to create data-driven solutions that empower organizations. I strive to consistently deliver valuable insights, enabling stakeholders to make informed, data-backed decisions.

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