Experience

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  Ltimindtree

  Jun 2021 - Oct 2024

  Data engineer

  Designed and implemented end-to-end data pipelines using Azure Data Factory, ensuring efficient and reliable data movement and transformation.Developed and optimized ETL/ELT processes to extract, transform, and load data from various sources into Azure SQL Database and Azure Data Lake Storage.Implemented data integration solutions using Azure Databricks, leveraging Apache Spark for large-scale data processing and analytics.Collaborated with cross-functional teams to understand business requirements and design data models for data warehousing and reporting.Implemented data security measures, including encryption, access control, and data masking, to ensure compliance with industry standards and regulations.Conducted performance tuning and optimization activities to improve the query and processing performance of Azure-based data solutions.Worked with stakeholders to identify data quality issues and implemented data cleansing and validation processes to maintain data integrity.Prepared technical documentation, including system design, data flow diagrams, and deployment instructions, to facilitate knowledge transfer and support.Actively participated in knowledge-sharing sessions and kept abreast of the latest Azure data engineering trends and best practices. Show less

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  Circle k

  Oct 2024 - now

  Data engineer