Mehmet Tahir Aslan

Senior Data Engineer @BeeBI • Specialized in SQL, Python, Apache Spark, Databricks, Data Modeling, ETL • Building efficient data pipelines that enable smarter business decisions

Istanbul, Türkiye

About

I’m a Data Engineer with 6+ years of experience across data engineering, BI engineering, and data analysis. This mix has given me a strong end-to-end view of the data lifecycle, from understanding business needs to designing pipelines, building data models, and delivering insights that teams can actually use. Throughout my career, I’ve worked on designing and implementing data pipelines, improving data workflows, analyzing business data, and developing scalable data models to support decision-making. I enjoy working close to the business side, asking the right questions, and turning complex data problems into clear, practical solutions. My background as both a BI Engineer and Data Analyst helps me think beyond the technical implementation. I care about data quality, usability, performance, and whether the final solution truly helps stakeholders move faster and make better decisions. I’m comfortable working in fast-paced environments, collaborating with cross-functional teams, and adapting quickly when priorities change. I value clear communication, ownership, and continuous improvement in the way data products are built and maintained. Outside of work, I like exploring new technologies, experimenting with open-source projects, and keeping up with modern data engineering practices. I’m also a passionate basketball fan, especially of Anadolu Efes. The teamwork, strategy, and discipline in basketball are things I genuinely appreciate in professional life as well. Technical Stack: - Programming: Python, SQL - Databases: Oracle, PostgreSQL, Microsoft SQL Server - Cloud Platforms: AWS, GCP, Azure - Big Data & Data Engineering: Apache Spark, Apache Airflow, Databricks, dbt - Cloud Data Warehousing: Amazon Redshift, Google BigQuery - DevOps & Version Control: Docker, Git, GitHub - BI & Data Visualization: Microsoft Power BI, Qlik, Tableau - Documentation & Project Management: Confluence, Jira I’m always open to connecting with people in data, technology, and analytics. Feel free to reach out at [email protected] 📬or connect with me here on LinkedIn.

Experience

  • BeeBI Consulting GmbH (Remote)
    • Senior Data Engineer
      Feb 2026 - Present · 6 mos

    • Data Engineer
      Feb 2024 - Feb 2026 · 2 yrs 1 mo

      ➡ ETL pipelines using Python and SQL on Databricks, reducing data processing time by 30% and handling over 1TB of data daily. ➡ Integrated data from multiple sources using Spark on Microsoft Azure, improving data accuracy by 19% and reducing data integration time from 2 hours to 45 minutes for daily operations. ➡ Automated deployment processes with Jenkins and Airflow, decreasing deployment time by 24% for critical data workflows. ➡ Designed and visualized complex data models in Power BI, increasing stakeholder engagement by 35% and delivering actionable insights to 20+ business units.

  • Data Analyst at Crystal System
    Aug 2022 - Feb 2024 · 1 yr 7 mos

  • Business Intelligence Consultant at BI Technology Qlik Master Reseller
    Jun 2021 - Aug 2022 · 1 yr 3 mos

  • Junior Business Intelligence & Data Warehouse Consultant at NTT DATA Business Solutions
    Aug 2020 - Feb 2021 · 7 mos

    ➡️ Conducted thorough analyses and reviews of overall technical designs and processes, ensuring that end-to-end solutions were perfectly aligned with a deep understanding of business needs. This meticulous approach guaranteed that technological implementations effectively met strategic objectives. ➡️ Fostered close collaborations with various vendors, IT, and Business teams. This synergy was crucial in developing cohesive strategies and solutions, bridging the gap between technical and business perspectives. ➡️ Successfully developed and delivered over 100 Business Intelligence dashboards and reports. This substantial portfolio of BI tools played a key role in enhancing data-driven decision-making across the organization. ➡️ Tackled challenging analytical problems involving datasets exceeding 750 million records. Applied a range of analytical methods, including machine learning and statistical approaches, to derive insightful conclusions from vast data sets. ➡️ Offered expert consultancy in defining Key Performance Indicators (KPIs) using Business Intelligence tools such as Tableau, Power BI, SAP BO, and Python, coupled with statistical models. Prepared and delivered effective reports for senior management in four major companies across diverse industries, enhancing strategic oversight. ➡️ Built and implemented data visualizations using SQL and Tableau to efficiently track business KPIs. This innovation led to a significant reduction in manual reporting efforts, saving 12 hours weekly and streamlining the reporting process.

  • Software Engineer Intern at The Istanbul Metropolitan Municipality
    Jul 2018 - Aug 2018 · 2 mos

    ➡️ Spearheaded the creation of a web-based meeting reservation system, utilizing a blend of HTML, CSS, JavaScript, and MySQL. This project involved designing a user-friendly interface and robust backend, ensuring a seamless and efficient meeting scheduling experience. The application streamlined the reservation process, enhancing organizational efficiency and user engagement.