Description

Results-driven Data Engineer with 4 years of experience in designing and implementing robust data solutions utilizing AWS resources. Proven expertise in AWS Redshift, Glue Crawler, and pipeline solution design, ensuring reliable, scalable, and high-performance data architectures. Adept at transforming complex data sets into actionable insights, optimizing ETL processes, and supporting data-driven decision-making. Committed to delivering efficient, cost-effective solutions that enhance data accessibility and integrity across the organization. Proficient in collaborating with cross-functional teams to achieve project goals and drive innovation.

Industry field of expertise

Languages

English
Native or bilingual
Albanian
Native or bilingual
Italian
Fluent

Workplace preferences

Remote only

Primarily works remotely

Zattoo
Big Data Engineer
FILM AND AV
March 2025 - Today (1 year and 3 months)
Berlin, Germany
• • Develop and optimize scalable event streaming and batch data pipelines to support data-driven decision-making and product development.
• • Manage and evolve cloud-based (GCP BigQuery) and on-premises data warehouses (Vertica, Clickhouse), ensuring efficient data ingestion and processing from multiple sources.
• • Design and implement data processing pipelines to meet both analytical and machine learning needs, focusing on data quality and robust CI/CD practices.
• • Collaborate with cross-functional teams to enable self-service analytics and enhance the company's ability to leverage data for impactful business insights.
SQL Python Batch Processing Data Cleaning and Preprocessing Data Pipelines and Warehousing
Emma - The Sleep Company
Data Engineer
E-COMMERCE
September 2023 - December 2024 (1 year and 3 months)
Frankfurt, Germany
• • AWS Resource Management: Utilized Pulumi for infrastructure as code (IaC) to efficiently create and manage AWS resources including EC2, Crawlers, Lambda, S3 buckets,
• • Performance Optimization: Conducted performance tuning and optimization of data workflows and queries, achieving significant improvements in processing times and resource utilization.
• • Developed scalable ETL solutions leveraging AWS Redshift, enabling efficient data warehousing and retrieval.
• • Documentation and Best Practices: Authored comprehensive documentation for data pipelines, architecture diagrams, and deployment procedures. Established and enforced coding standards and best practices within the data engineering team.
Emma - The Sleep Company
Junior Data Engineer
E-COMMERCE
September 2021 - August 2023 (1 year and 11 months)
Frankfurt, Germany
• • Pipeline implementation using Matillion as standard ingestion tool.
• • Collaborated with data analysts and scientists and data architect to understand their data requirements and help develop data models and schemas, using DBT as main transformation tool.
• • Conducted data quality checks and ensured data accuracy and completeness by monitoring data pipelines and running automated tests.
• • Documented data engineering processes and workflows to help with knowledge sharing and training of new team members.
• • Assisted with database administration tasks such as creating and managing tables, indexes, and user accounts.
• • Using Python libraries to scrap competitor website data