
Azure Certified Data Engineer with over 15 years of comprehensive IT experience, including 5 years focused on designing and implementing robust end-to-end ETL data solutions on Microsoft Azure. Proficient in building scalable data pipelines, orchestrating complex ETL/ELT workflows, and managing data lake and warehouse architectures using Azure services such as Data Factory, Databricks, and Data Lake Storage. Extensive expertise in real-time data processing with Spark Streaming in Databricks, along with a strong background in developing end-to-end data flow applications using PySpark, Python, and Spark SQL. Excellent communication skills complemented by a proactive, team-oriented approach and over 8 years of onsite experience collaborating closely with clients to deliver tailored cloud-based solutions. Meticulous [Job Title] maintaining highly functional digital systems for uninterrupted workflows and consistent productivity. Oversees routine maintenance checks and software update schedules to reduce network downtime and likelihood of security compromises. Loves collaborating with customers and teammates to develop and implement creative technical solutions to challenging problems.
sdcw