LABINOT PLLANA
Summary
Driven, analytical, and solution-focused professional with solid foundation in data engineering principles and aptitude for problem-solving. Well-versed in data architecture and database management systems, with proficiency in SQL and Python for data manipulation and analysis. Committed to leveraging technical skills to design and implement scalable data solutions, optimising data workflows, and enhancing data-driven decision-making.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Senior Data Engineer
Enable
02.2025 - Current
- Architected and led company-wide data infrastructure initiatives, migrating Azure resources to Terraform-based IaC and cutting cloud spend by 30%.
- Designed and implemented a complex multi-pipeline architecture in Azure Data Factory, delivering near real-time ingestion.
- Collaborated with cross-functional teams to optimise data architecture for improved analytics performance.
- Mentored junior engineers in best practices for data modeling and ETL processes.
- Enhanced data quality by developing automated validation frameworks and monitoring systems.
Experienced Data Engineer
Enable Stratford-upon Avon
02.2023 - 02.2025
- Developed and maintained data pipelines using Apache Spark for efficient data processing.
- Collaborated with cross-functional teams to ensure data integrity and consistency across platforms.
- Analyzed large datasets to identify trends, supporting strategic decision-making initiatives.
- Evaluated new tools and technologies, recommending solutions to enhance operational efficiency.
- Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
Associate Data Engineer
AiCore London
04.2022 - 01.2023
- Developed an end-to-end data processing pipeline in Python based on Pinterest’s experiment processing pipeline, utilising Lambda architecture.
- Enabled both batch and stream processing, with real-time analysis and monitoring stored in a PostgreSQL database.
- Engineered a data collection pipeline that scraped Selenium and stored the data in an AWS RDS database.
- Deployed the application using Docker on an AWS EC2 instance with CI/CD via GitHub Actions, and monitored container metrics using Prometheus and Grafana.
- Collaborated with engineering teams to design and implement innovative solutions for product development.
- Conducted thorough analysis of project requirements, ensuring alignment with client specifications and industry standards.
Education
1st Class (hons) Meng - Chemical Engineering
University of Bath
06.2019
A Level - Maths, Further Maths, Chemistry, Physics
Mill Hill County High School
06.2015
GCSE - undefined
Christ’s College Finchley
06.2013
Skills
- Data pipeline design
- Azure cloud expertise
- Snowflake data management
- Data privacy management
- Infrastructure as code
- CI/CD implementation
- Git version control
- ETL development
- Big data processing
- Python programming
- Advanced SQL
Accomplishments
- Raised over £1000 for charity completing the Ironman Lanzarote 70.3.
- Middleweight MMA Champion
Certification
- Microsoft Certified: Azure Data Fundamentals
- Microsoft
- E065DCDF06A932F1
- Issued Sep 2024
Languages
English
Native or Bilingual
Albanian
Native or Bilingual
German
Native or Bilingual
Timeline
Senior Data Engineer
Enable
02.2025 - Current
Experienced Data Engineer
Enable Stratford-upon Avon
02.2023 - 02.2025
Associate Data Engineer
AiCore London
04.2022 - 01.2023
GCSE - undefined
Christ’s College Finchley
1st Class (hons) Meng - Chemical Engineering
University of Bath
A Level - Maths, Further Maths, Chemistry, Physics
Mill Hill County High School