Experience

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  Link

  Feb 2018 - Aug 2018

  Developer

  • Partnered with cross-functional project stakeholders in delivering complex transition from onpremise servers to the cloud, creating a cost plan tailored to each server.

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  Capgemini engineering

  Jul 2019 - Oct 2021

  Azure data engineer

  • Managed diverse ETL projects, including migrating services from Azure streaming analytics (TSQL) to local servers using open-source frameworks (Python, Spark SQL and Kafka).• Automated reports, reducing processing time from 3 days to 1 hour with Azure technologies and optimizing ETL pipelines.• Implemented OCR technology for precise matching of receipts with submitted expenses.• Applied speech-to-text solutions in Azure cloud with Azure Cognitive Services, enhancing transcription quality for domain-specific contexts• Developed machine learning algorithms for calculating wind speed using Azure, integrating seamlessly with data lake architecture.• Led end-to-end oversight of data science projects, from initial requirements gathering to architecture design, implementation, and ongoing support.• Utilized Microsoft Azure extensively, employing services such as Azure Databricks and Azure Data Factory for efficient ETL processes, data warehouse management, and scalable data analysis.• Demonstrated expertise in translating complex data into actionable insights across diverse industries and optimizing data warehouse performance Show less

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  Novagrolider

  Oct 2021 - now

  Data engineer

  • Orchestrated a team of skilled programmers, overseeing various software projects, while focusing on developing a robust on-premise data warehouse solution. Leveraged Python and SQL Serverfor data extraction, transformation, and loading, ensuring efficient handling of diverse data sources.• Managed the IT Department, directing efforts to maintain and optimize the on-premise data infrastructure. Oversaw the coordination of multiple software projects.• Designed and maintained intricate ETL pipelines within the on-premise data warehouse, allowing for seamless integration and processing of diverse datasets. Formulated tailored data models and visualization solutions, reducing decision-making timescales significantly.• Applied advanced SQL and Python techniques for comprehensive data analysis, utilizing Power BI to create insightful and actionable visuals. This approach contributed to a measurable improvement in decision-making processes.• Spearheaded a notable project predicting market consumption, optimizing production planning within the on-premise data warehouse. Achieved remarkable results through precise demand forecasting, waste reduction, and accurate consumption predictions.• Monitored and optimized on-premise data pipelines, troubleshooting and resolving issues to enhance reliability and efficiency. Stayed abreast of data engineering trends, implementing new tools and technologies to continually refine the on-premise data architecture Show less

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  Growing timeless

  Nov 2023 - now

  Data engineer