Barbora D.-Analytics Engineer | Cloud Systems & Analytics Architecture
Check rate
Experience
Analytics Engineer
Siemens AG
- Advanced Power BI Development & DAX Engineering: Designed and developed multiple complex Power BI dashboards, implementing advanced DAX measures, calculated metrics, and context-dependent KPI calculations to support detailed business performance analysis. Structured report interactions and visualizations to enable multidimensional exploration of business data and provide meaningful insights to stakeholders.
- Pulse Cloud ETL & Data Integration: Worked with ETL processes within Pulse Cloud, Siemens' native environment, supporting the extraction, transformation, and preparation of business data for downstream reporting. Optimized data flows to support reliable dataset refreshes and the delivery of consistent information to Power BI reporting solutions.
- Semantic Modeling & KPI Standardization: Developed reporting structures connecting business entities, measures, and performance indicators, ensuring consistent KPI interpretation across dashboards and regional business teams. Translated complex reporting requirements into reusable calculations and coherent reporting logic.
- Advanced SQL & Query Performance Optimization: Diagnosed complex performance bottlenecks and optimized Snowflake queries for resource-intensive workloads, improving execution speeds by up to 30%. Investigated query behavior and data access patterns to improve the responsiveness of reporting workloads.
- Enterprise Reporting Migration & Cross-Regional Alignment: Collaborated with international business and technical stakeholders during a large-scale systems unification initiative spanning US and European markets. Supported Power BI dataset and dashboard migrations and optimized internal Pulse data flows to maintain reporting continuity and align business reporting across regions.
- BI Deployment & Development Standards: Standardized Git-based version control, branching strategies, and CI/CD workflows for reporting-related changes, improving release consistency and reducing manual deployment errors by approximately 50% across development and production environments.
Analytics Engineer
SCHWARZ GROUP | Kaufland Czech Republic v.o.s.
- Data Transformation & Modeling: Built and maintained SQL transformation workflows that turn raw SAP extracts and operational data into clean, structured datasets for reporting and analysis. Worked mainly with Snowflake and BigQuery, developing fact and dimension models and using dbt for selected transformation tasks.
- Data Quality & Reliability: Implemented validation checks across key datasets to catch missing or duplicate records, incorrect keys and outdated data. Worked with technical and business stakeholders to investigate inconsistencies and ensure reporting data matched the underlying business requirements.
- Reporting & BI: Developed and maintained Power BI and Looker dashboards, supporting reliable reporting through well-structured backend data and consistent metric definitions. Optimized SQL queries and supporting models to improve dashboard performance when working with larger datasets.
- Process Improvement & Automation: Reworked reporting processes that previously relied heavily on Excel and manual data preparation, moving them to more structured cloud-based workflows. Automated recurring data preparation and reporting tasks to reduce repetitive work and improve consistency.
- SQL, Development & CI/CD: Developed, tested and optimized SQL using VS Code and DBeaver, troubleshooting data issues and improving warehouse performance through better query structure, incremental processing and partitioning. Used Git for version control, branching and code reviews, with CI/CD workflows supporting more consistent deployment of data transformation changes.
Data Solutions Specialist
- Web Scraping & Data Extraction: Wrote custom Python scrapers with BeautifulSoup to automatically pull external web data into local pipelines, replacing slow, error-prone manual copy-pasting for clients.
- Process Automation: Built lightweight automation scripts using Google Apps Script and Python to connect disconnected spreadsheets and eliminate manual data entry.
- Data Prep & Quality: Cleaned up messy, fragmented client data from various platforms, setting up basic validation logic to fix duplicate records, missing keys, and schema mismatch before sending data to reporting tools.
- Client Engagement & Scoping: Worked directly with freelance clients to define project scope and deliver functional data utilities, figured out where their data processes were breaking down, and delivered simple, working data tools.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Retail, Energy, Manufacturing, and Information Technology.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology and Business Intelligence.
Summary
Analytics Engineer who enjoys solving the problems that make data systems difficult to build and maintain. Experienced in data pipelines, SQL transformation, warehouse optimization, automation, and cloud data platforms, with hands-on expertise in Snowflake, BigQuery, dbt, Python and Power BI. I have worked on complex data environments where performance, data quality, and reliable delivery matter, combining technical problem solving with a practical understanding of how data is actually used—bridging the gap between data infrastructure and business intelligence.
Skills
- Languages & Core: Sql, Python
- Data Warehousing & Processing: Snowflake, Bigquery, Dbt
- Development & Ci/Cd: Git, Github/Gitlab, Ci/Cd Workflows, Dbeaver, Vs Code
- Ai & Llm Integration: Claude Api (Anthropic), Prompt Engineering, Tool Use / Function Calling
- Bi & Analytics: Power Bi, Looker, Advanced Excel
Languages
Education
Metropolitan University Prague
Master's Degree · International Business · Hlavní město Praha, Czech Republic
Statistics
Experience
Global experience
Expertise
Qualifications
Frequently asked questions
Have questions? Find more information here.
Barbora is based in Prague, Czech Republic.
Barbora speaks the following languages: Czech (Native), English (Native), Spanish (Advanced).
Barbora has at least 3 years of experience. During this time, Barbora has worked in at least 2 different roles and for 2 different companies. The average length of individual experience is 1 year. Note that Barbora may not have shared all experience and actually has more experience.
Based on recent experience, Barbora would be well-suited for roles such as: Analytics Engineer, Data Solutions Specialist.
Barbora's most recent position is Analytics Engineer at Siemens AG.
In recent years, Barbora has worked for Siemens AG and SCHWARZ GROUP | Kaufland Czech Republic v.o.s..
Barbora is most experienced in industries like Retail, Information Technology, and Energy. Barbora also has some experience in Manufacturing.
Barbora is most experienced in business areas like Information Technology and Business Intelligence.
Barbora holds a Master in International Business from Metropolitan University Prague.
Barbora will be available full-time from January 2027.
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Calculated based on our freelancers’ daily rates as of 31 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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