Marius is a Data Engineer well-versed in the workings of large-scale big data environments - building clean pipelines and maintaining data products on projects. He establishes scalable processes for managing data solutions, modifies ML algorithms to address user requirements and implements new proof of concepts for clients. He leverages creative data solutions with analytical skills to continue driving innovation on projects.
Delivers data warehouse and ETL solutions as part of an agile team using advanced machine learning techniques to improve performance and processes.
Helps build and improve infrastructure, application and performance development and ensures tight security including data encryption, security groups, and environment scanning.
Ensures high-quality deliverables and implements DevOps and security best practices in fast-paced environments
Finastra builds and delivers innovative, next-generation technology on an open Fusion software architecture and cloud ecosystem. It's one of the world’s largest FinTech’s working with over 9,000 customers, including 90 of the top 100 banks globally. Developed, maintained, and optimized the automation and deployment of tools and services in a hybrid Lakehouse architecture. Operationalized and optimized the operation, release, and deployment of data solutions for Finastra leveraging Azure-based solutions.
Designed and developed an out-of-box ETL solution custom-built to meet the business needs of clients. It works with different technologies as both a source and destination. Built the solution as a Microsoft SSIS project.
Education
Databricks Certified Associate Developer for Apache Spark 3.0
DataBricks
2021 - 2021
Microsoft Certified: Azure Data Engineer Associate
Microsoft
2021 - 2021
MCSA: SQL 2016 Business Intelligence Development - Certified 2018
Microsoft
2018 - 2018
Microsoft Exam 768: Developing SQL Data Models
Microsoft
2018 - 2018
Bachelor of Applied Science, Computer Science
Universitatea „Spiru Haret” din București
2018 - 2019 (1 year)
Exam 767: Implementing a Data Warehouse
Microsoft
2018 - 2018
Exam 463: Implementing a Data Warehouse with Microsoft SQL Server 2012/2014
Microsoft
2017 - 2017
Exam 461: Querying Microsoft SQL Server 2012/2014
Microsoft
2017 - 2017
Fullstack Web Development Certification, Computer Software Engineering