About Jorge
German
Native or bilingual
English
Fluent
Portuguese
Native or bilingual
Experience
- Datamesh GmbhCEO & Director of EngineeringJune 2020 - Today (6 years)97 Würzburg, Germany• Building and leading a data engineering consultancy, including strategy development, goal setting, and responsibility in areas such as sales, product development, and financial planning.• Financial management through strict budget controls to optimize resource allocation.• Recruiting and managing a team of 4 engineers, including mentoring and personal development plans, to create a productive and safe work environment.• Developing a technical vision and building the technical stack for consistent and high-quality deliveries.• Collaborating with partners such as Deutsche Bahn, BMW, and Allianz to meet technical requirements for solution designs.• Ensuring software quality through the implementation of standards and test coverage.• Efficient solution deployment and monitoring using modern tools and frameworks.• Effective customer and stakeholder management using agile methods for on-time software delivery.• Maintaining customer relationships and increasing market penetration through strategic partnerships.• Presenting and discussing development strategies to optimize data integrity and model performance.
- S.Oliver GroupData ArchitectApril 2024 - September 2024 (5 months)• Leading the strategic migration from SAP Hana to Databricks and designing a Medallion architecture on Azure, incorporating multi-tenancy integration and automated data workflows. This resulted in annual cost savings of up to €80,000 and improved data management.• Architecting and implementing data pipelines for incremental data extraction from SAP and Kafka, using Databricks and dbt, which led to a 50% increase in data processing efficiency.• Leading the development and implementation of a CI/CD pipeline on the Azure cloud using Pyspark, Kafka, and PowerBI to create dashboards for data-driven decision-making.
- Deutsche BahnTechnical Team Lead on AWSSeptember 2022 - May 2024 (1 year and 8 months)• Overall responsibility for the architecture and implementation of large-scale data pipelines for the Flake Data Lake, utilizing Scala, Python, Spark, AWS Glue, AWS IoT, and other AWS services, resulting in a 30% reduction in Total Cost of Ownership (TCO).• Designing and implementing a streaming architecture that used Delta processing techniques to consolidate data in a data lake of several hundred terabytes, increasing data retrieval and storage optimization efficiency by 20%.• Leading the development of streaming applications with AWS Kinesis and Lambda, and implementing monitoring solutions for infrastructure oversight.
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