Data Architect/Engineer
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- auf Anfrage
- 6300 Zug
- Europa
- hr | en | de
- 16.11.2024
Kurzvorstellung
Qualifikationen
Projekt‐ & Berufserfahrung
6/2022 – offen
TätigkeitsbeschreibungETL and Power BI cubes optimizations, Azure migration planning.
Eingesetzte QualifikationenBusiness Intelligence (BI), Data Warehousing
5/2021 – 6/2022
Tätigkeitsbeschreibung
As a senior tech. lead in a start-up, worked on implementing data management “practice” from scratch, including: defining basic data governance framework, building data-ops team, providing inputs to enterprise architecture,
participating in leadership calls, etc.
Data Warehousing, Projektmanagement (IT)
8/2016 – 3/2021
Tätigkeitsbeschreibung
As architect and tech-lead, worked on initiatives based on Microsoft traditional and cloud-based DWH/BI stack. Redesigned several existing solutions to achieve better end-to-end performance. Member of Group Finance Target
Architecture team.
Data Warehousing, Projektmanagement (IT)
1/2014 – 8/2016
Tätigkeitsbeschreibung
As part of Manufacturing BI team, covered various roles ranging from team and project management, to solution architecture design, to BI/DWH development. Mentored junior members of the team.
Key achievements:
Appointed lead of geographically dispersed team of DHW/BI developers. Implemented order fulfillment solution which helped plants’ operations and logistics optimization in real-time.
Notable projects:
• Real-time event-based data warehouse – Defined AWS-based solution architecture and developed ETL for retrieval, storage and analysis of real-time manufacturing process status updates, using Kafka/Kafka Streaming, Spark, Java, S3, Hive and Tableu. Solution reduced data latency from 2 hours to 1-2 minutes.
• Legacy data warehouse migration to AWS cloud – Migration of 120TB DWH/BI solution based on Microsoft stack into Amazon cloud, using Big Data technologies like Sqoop, Hive/Hadoop, S3, Pig, Java, Kafka, Presto, Looker, etc. The solution featured lambda architecture to solve a problem of updates in Big Data ecosystem (batch process for immutable/static data, streaming process for updatable data).
• Shipment Tracking Analysis – Using traditional MS DWH/BI stack, implemented a solution to retrieve, store and analyze tracking data across 40+ carriers. Implemented Petri-nets engine for outlier detection. Solution helped optimization of plants operations as well as contract negotiations with carriers.
Business Intelligence and Reporting Tools (BIRT), Data Warehousing, Projektmanagement (IT)
Ausbildung
Zagreb
Weitere Kenntnisse
Microsoft DWH/BI stack. Experienced lead of geographically dispersed teams and certified project manager. Especially interested in Big Data solutions, advanced data architectures and self-service BI. Very hands-on.
Persönliche Daten
- Kroatisch (Muttersprache)
- Englisch (Fließend)
- Deutsch (Grundkenntnisse)
- Europäische Union
- Schweiz
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