Data Architect/Engineer
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- auf Anfrage
- 6300 Zug
- Europa
- hr | en | de
- 01.03.2024
Kurzvorstellung
Qualifikationen
Projekt‐ & Berufserfahrung
6/2022 – offen
TätigkeitsbeschreibungETL and Power BI cubes optimizations, Azure migration planning.
Eingesetzte QualifikationenBusiness Intelligence (BI), Datawarehouse / DWH
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.
Datawarehouse / DWH, 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.
Datawarehouse / DWH, 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), Datawarehouse / DWH, 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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