Hello! I'm Mansi Singh, an experienced Azure Data Engineer at Mercedes Benz with 4 years of expertise in Data Engineering, Big Data Engineering, and Cloud Solutions Architecture. I specialize in building scalable, efficient data pipelines and transforming raw data into actionable insights using a variety of tools and technologies in the Azure ecosystem. My professional journey has taken me across industries like Automotive and Finance where I have successfully designed and implemented end-to-end ETL/ELT pipelines, optimized data processing systems, and integrated cloud-based solutions. I have hands-on experience working with Azure Data Factory (ADF) for data orchestration, Azure Synapse Analytics for data warehousing, and Databricks for distributed data processing with PySpark. My key skillset comprises problem-solving, data modeling and architecture, performance tuning and optimizations, and big data engineering utilizing distributed systems like Apache Spark. I'm well-versed in cloud ecosystems such as Azure (including Databricks, ADF, and Azure Synapse Analytics). Additionally, I excel in Python, SQL, and Pyspark. Throughout my career, I've successfully managed and optimized data pipelines, and collaborated with cross-functional teams to bring ideas to life, driving impactful business outcomes. I’m always looking to expand my knowledge and take on new challenges in the cloud data engineering space. If you’re seeking a results-oriented Azure Data Engineer to build scalable data solutions, I’d love to connect and explore how my experience can contribute to your team’s success!