Amsterdam, North Holland, Netherlands
I am a Senior Azure Data Engineer with a strong focus on building scalable, cloud-based data solutions and enabling data-driven decision-making. With experience across organizations like TCS, IBM, VARRLYN, and Rabobank, I have worked on designing and optimizing modern data platforms using Azure, Databricks, PySpark, ADF, and Synapse. I also bring a DevOps mindset to data engineering focusing on automation, CI/CD, performance, and reliability in data pipelines. Beyond my professional work, I am a Data & AI Creator, where I share insights with 150K+ professionals on LinkedIn. My content focuses on: - Data Engineering & Analytics - Cloud Technologies (Azure) - Career growth in tech - Breaking into data roles - Opportunities to work abroad (India → Europe journey) I’m passionate about helping others transition into data engineering and cloud careers, while continuously learning and building in the data & AI space. Open to discussing data strategy, collaboration, or your journey into cloud data engineering or data analyst roles. 📩 Lets Connect -> [email protected]
Working as a Azure Devops Engineer With Varrlyn.
I developed an end-to-end data pipeline in the Azure stack, gathering data from multiple sources into ADLS Gen 2, transforming it using Azure Databricks (PySpark and Spark SQL), and storing it in Azure Synapse for Power BI reporting; utilized Azure Data Factory for scheduling, Azure Logic Apps for notifications, and Azure DevOps for deploying pipelines across UAT, QA, and PROD environments.
I worked with one of the largest telecom companies in the UK, where I fetched data from source hubs to reporting, gained extensive experience in both streaming with Kafka-Spark and batch processing with Spark-Hive, used Oozie for job scheduling, and utilized AWS and GCP for cloud services, resulting in a valuable learning experience.
As a Junior data Engineer for an insurance client, I built reports using SQL, managed Control-M jobs focusing on data extraction, query optimization, data analysis in Oracle, job scheduling, and troubleshooting, while also engaging in cross-functional teamwork, stakeholder engagement, and providing training and support.