Labinot Sylaj

Senior Data Engineer @Capgemini

Pottsville, PA, US

Collaborated closely with business teams to capture their data requirements, developing ETL pipelines to suit business cases using Azure Data Factory, Data Lake, and Azure Datawarehouse. Performed complex data transformations with Data flows and Databricks. • Managed data lakes, warehouses, and ETL processes on AWS, proficient in diverse ETL processes from various sources. • Developed and maintained data pipelines using AWS Glue, Lambda, and Kinesis, proficient in crafting complex queries using SQL. • Managed database objects using SQL and performed Tableau Administration tasks for efficient workbook publication and user permissions • Implemented Azure Databricks for real-time data processing, streamlining data ingestion and enabling swift analytics for immediate decision-making. • Designed and maintained Azure SQL Data Warehouse and Synapse Analytics, ensuring data accuracy and availability for business intelligence reporting. • Orchestrated complex ETL processes, integrating diverse data into a centralized data lake housed on AWS Redshift via Azure Blob Storage and AWS S3. • Automated data transformation and cleansing processes using Python and PowerShell scripting, ensuring data accuracy and compliance with industry standards. • Ensured data security and compliance through Databricks, Azure Synapse, Microsoft fabric, Azure Data Lake Storage and Data Factory security implementations • Created multiple linked services for multiple source systems like using Databricks with Azure Data Factory (ADF) to compute large volumes of data by pulling the data which is stored in Azure Blobs and Data Lakes. • Implemented Databricks data aggregation, cleansing, and transformation operations using Spark and PYSPARK, ensuring high data quality and accuracy. • Built Microsoft Fabric Lakehouse to create data lakes with bronze, silver and gold zones using Fabric Pipelines and Spark Notebooks.

University of Prishtina

Bachelor's degree