DAP 1.0 and Central Ingestion(DAP 2.0)Skills:•As a Data Engineer at Ericsson, my role revolves around designing, developing, and maintaining robust data pipelines and workflows. •I collaborate closely with cross-functional teams to gather and interpret data requirements, ensuring our solutions effectively meet business needs. •Key responsibilities include data modeling, ingestion, transformation, and ensuring data quality and consistency. •I actively troubleshoot and optimize data processes to improve efficiency and performance, while also contributing to data architecture design and offering recommendations to enhance data management practices.•Furthermore, I have mentored junior engineers on project workflows, imparting knowledge and guidance to support their professional growth and project success.Key Projects and Achievements:•Data Warehouse Migration: Led a project to migrate a large-scale data warehouse from Azure to AWS, redesigning data pipelines for improved scalability and performance.•Real-time Data Streaming: Implemented real-time data streaming solutions to monitor and analyze critical business metrics, enhancing decision-making capabilities.•Automated Data Ingestion and Transformation: Developed a PySpark-based solution automating data ingestion and transformation, significantly reducing manual effort and processing time for clients.•Data Catalog and Metadata Management: Played a pivotal role in developing a comprehensive data catalog and metadata management system, enhancing data discovery and governance across the organization.•Data Security Measures: Ensured data privacy and compliance with industry standards through the successful deployment of robust data security measures.These experiences have equipped me with a deep understanding of data engineering principles and the ability to deliver impactful solutions that drive business success.