Finance (MSc) professional with 5+ years experience building data platforms using Databricks, Azure, and modern data engineering technologies.
Below are some of my finished projects, which demonstrate my expertise in data engineering, analytics, and financial modeling.
To enable a large organization to modernize and streamline its data operations, improve reporting, and support agile business needs through a scalable data platform.
Implemented a robust and flexible data platform that enhanced the organization’s ability to manage, process, and utilize data efficiently. The solution improved data accessibility, reporting capabilities, and supported the adoption of modern development practices.
Responsible for designing and building secure, cloud-based data services, developing user and access management features, maintaining the platform, and optimizing data flows. Translated business requirements into technical solutions and contributed to the development of data-driven products.
Tasked with extending and tailoring a data platform to meet evolving business needs, including the modernization of legacy data processes and improvement of analytics and reporting.
Collaborated to create an isolated data environment for sensitive business operations, migrated and optimized data flows, and enabled more agile development and analytics practices.
Took end-to-end responsibility for the implementation and enhancement of data-driven solutions. Led integration work, data flow construction, platform maintenance, and migration of critical data assets.
Issued by Databricks, October 2022
Credential ID: 61141602
My current role is a mix of Platform / Data Engineer. Experienced in modern data platform paradigms, including DataOps, data lake architecture, streaming solutions, GDPR compliance and data platform administration. Skilled in data development using PySpark. Got exposure to Bash, Scala, YAML, and Bicep scripting.
Worked for Computer Science and Engineering department with a mission of researching data mining & learning analytics solutions used in Higher Education. The aim was to publish. Other responsibilities included acting as course assistant for a basics level Python course.
Worked part-time for Computer Science and Engineering department conducting learning analytics. The work included data preprocessing, data analysis, and advanced analytics. Also did a fair amount of ad hoc analysis and visualizations. Gained experience on R-programming, variety of analysis methods & algorithms, project reporting, and requirement gathering. Master's thesis: Simulated student flow linked with universities financing model.