About Pavel Tran:
π Passionate Data Engineer | Committed to Data Transformation | Creative Problem Solver π
Hello and welcome to my LinkedIn profile! I'm a data enthusiast with a strong inclination towards the fascinating world of data engineering. My journey is all about exploring new horizons and challenging conventional wisdom. I'm at my best when working on diverse data engineering projects, utilizing tools like SQL, Python, and data visualization to craft inventive solutions.
π Work Experience:
Data Engineer | New Realities, Salisbury | 2023 β Present
β’ Designed a pipeline connecting Square POS (Point of Sale) and eBay sales to Google BigQuery via APIs, enabling seamless data integration.
β’ Implemented ETL (Extract, Transform, Load) processes for efficient data flow, ensuring data integrity and facilitating analysis.
β’ Contributed to the development of a data ecosystem for streamlined data interchange, showcasing data integration expertise.
β’ Employed data engineering best practices to optimize data transfer, storage, and retrieval, resulting in streamlined operations and improved decision-making capabilities.
Data Analyst | Ecosurety, Bristol | 2021 β Present
β’ Created and effectively presented actionable Power BI dashboards that support making more informed business decisions.
β’ Improved overall department efficiency by 75% and reduced manual effort by 80% via automating repetitive data analysis processes and methodologies, using SQL, Power Query and python.
β’ Utilized web scraping skills to collect data from external websites to improve internal procurement processes.
π Notable Projects:
Outlier Validation Tool (Python)
Engineered a machine learning model employing KMeans, Meanshift, and CountVectorizer algorithms, facilitating efficient data clustering and outlier identification.
Leveraged advanced statistical analysis techniques to unveil concealed patterns.
Pioneered the development of an innovative data validation tool, elevating data credibility.
Let's connect and explore opportunities in the dynamic field of data engineering! ππ‘
Experience
π Work Experience:
Data Engineer | New Realities, Salisbury | 2023 β Present
β’ Designed a pipeline connecting Square POS (Point of Sale) and eBay sales to Google BigQuery via APIs, enabling seamless data integration.
β’ Implemented ETL (Extract, Transform, Load) processes for efficient data flow, ensuring data integrity and facilitating analysis.
β’ Contributed to the development of a data ecosystem for streamlined data interchange, showcasing data integration expertise.
β’ Employed data engineering best practices to optimize data transfer, storage, and retrieval, resulting in streamlined operations and improved decision-making capabilities.
Data Analyst | Ecosurety, Bristol | 2021 β Present
β’ Created and effectively presented actionable Power BI dashboards that support making more informed business decisions.
β’ Improved overall department efficiency by 75% and reduced manual effort by 80% via automating repetitive data analysis processes and methodologies, using SQL, Power Query and python.
β’ Utilized web scraping skills to collect data from external websites to improve internal procurement processes.
Education
Studied law for 5 years, made a career transition to data.
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Graduate Production Technician
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Financial Modeller
Found in: SonicJobs Direct Apply UK - 2 days ago
Direct apply
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