Professional Summary

Candidate is a Data Engineer with over 2 years of professional experience specializing in data pipeline development, data integration, and analytics within the banking sector. Experienced in designing, optimizing, and maintaining complex SQL and MSSQL queries, procedures, and jobs to support data warehousing and reporting needs. Skilled in building scalable ETL processes and managing data flow in distributed environments, leveraging big data frameworks such as Apache Spark and Hadoop. Adept at collaborating with cross-functional teams to translate business requirements into actionable data solutions and developing Power BI dashboards for enhanced data visualization. Familiar with Agile methodologies and committed to continuous improvement and adopting emerging technologies to drive data-driven decision-making.

Video of Talent

Portfolio

Education

Business and Technology University / Bachelor of Business Administration - BBA, Finances And Information Technology

Sep 2019 - Dec 2023

Certifications and Trainings

Experience

Big Data Engineer

Industry: Banking

Jan 2024 – Present

Playing a crucial role in the Data Integration squad within the Lakehouse environment, employing Agile methodologies, particularly Scrum, to drive efficient and effective data processing initiatives.
Focusing on enriching the Lakehouse from diverse data sources sourced from within the banking sector, utilizing a suite of cutting-edge big data tools and technologies.
Concentrating efforts predominantly on the Bronze and Silver Layers of the Lakehouse architecture.
Collaborating closely with cross-functional teams to ensure seamless integration of data, maintaining a robust and reliable foundation for subsequent analytical processes.
Designing, implementing, and optimizing data pipelines that ingest, transform, and load data into the Lakehouse environment.
Harnessing the power of scalable big data frameworks such as Apache Spark and Hadoop to streamline data processing workflows, maximizing efficiency and performance.
Actively contributing to the development of best practices and standards within the squad, fostering a culture of continuous improvement and innovation.

DWH Data Engineer

Industry: Banking

Aug 2023 – Jan 2024

Played a pivotal role in harnessing the power of data to drive informed decision-making across various departments.
Managed and optimized the Data Warehouse (DWH) and Online Analytical Processing (OLAP) systems, ensuring seamless data flow and accessibility.
Crafted and fine-tuned complex MSSQL queries, procedures, and jobs to extract valuable insights from data reservoirs.
Worked closely with different departments such as HR, NBG and IFRS, Marketing, Digital, and more to contribute to the creation and enhancement of comprehensive reports tailored to meet unique analytical needs.
Engaged in continuous learning and development, exploring and implementing new concepts in the dynamic field of Data Engineering.

Data Engineer

Industry: Banking

Sep 2022 – Aug 2023

Designed, developed, and maintained robust data pipelines and ETL processes to ensure accurate and timely delivery of data for various banking products and services.
Collaborated with cross-functional teams to understand data requirements and implemented effective solutions.
Optimized data models and database performance to enhance the efficiency and scalability of data processing operations.
Wrote complex SQL queries to ensure that data was readily accessible for analysis and reporting purposes.
Ensured data quality and integrity throughout the data lifecycle by implementing data validation, cleansing, and normalization techniques.
Collaborated with Data Scientists, Analysts, and Software Engineers to understand their data requirements and provided necessary support.