
Yar Ryc
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Yar Ryc
- Bis heute 1 Jahr und 10 Monate, seit Juli 2023
Senior Data Engineer
B2B
• Led development of data-driven software, focusing on ETL, data integration, and modeling. Essential in designing applications for effective data processing and analysis. • Enhanced system performance by 35% through optimizations and improved operational efficiency by 20% with automation. • Created innovative data processing algorithms, improving data accuracy and aiding strategic decisions. • Built robust data architectures, streamlined pipelines, and ensured data quality and security.
- 1 Jahr und 9 Monate, Nov. 2021 - Juli 2023
Data Engineer
VEON
Orchestrated a Data Warehouse with Hadoop, Hive, Spark, reducing database load by 15%. Streamlined ETL via Airflow & Python, enhancing data integrity to 98%. Transformed legacy customer SQL scripts into modern Data Structures Trained on OCI, mastering Data Integration & Analytics. Championed Governance, Security, & Migration. Utilized OLAP & OLTP for agility. Expert in RDBMS tools Led Agile Development teams, ensuring alignment with business goals.
- 1 Jahr und 3 Monate, Sep. 2020 - Nov. 2021
Data Engineer
SITONICA
Collaborated with the operations team, commissioning machinery that doubled output. Focused on Data Optimization and Performance Tuning. Achieved a 60% surge in processing speed via ETL orchestration. Managed Data Migrations, Schema Design, and Data Architecture for optimal database performance. Established protocols ensuring Data Backup, Recovery, and Data Security. Worked extensively with vendors like IBM, Huawei, and HITACHI, optimizing Data Storage solutions.
- 8 Monate, Feb. 2020 - Sep. 2020
Data Engineer
SBT
Integral to the de-identification team, focusing on Data Cleaning, Transformation, personal Data Availability checks, and Data Lineage. Elevated customer request processing speed by 60% using Distributed Computing, Data Pipelining strategies, and Event-Driven Architecture. Engaged in Master Data Management, Data Cataloging, and Continuous Integration. Advocated for rigorous Data Governance and Data Quality Assessment.
Sprachen
Englisch
Fließend
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