Experienced Data Engineer | ETL Pipelines | Big Data | Azure & Cloud SolutionsHello, LinkedIn Community!I am a Data Engineer with 3+ years of experience in designing and implementing end-to-end ETL workflows, building scalable data pipelines, and delivering comprehensive data analysis and reporting solutions. My work spans industries such as Healthcare, Retail, Telecommunications, and Insurance, where I have had the privilege of solving complex data challenges and optimizing business processes.Working with top MNCs, I’ve helped teams overcome critical business challenges by enhancing data infrastructure and streamlining operations through advanced data engineering techniques. I have a proven track record of improving system performance and delivering scalable, efficient solutions that support long-term growth.Core Competencies & Technical Expertise:Big Data & Hadoop Ecosystem: HDFS, Hive, Sqoop, HBaseProgramming & Scripting: PythonData Processing & Analytics: Spark (PySpark, Databricks)Cloud Data Platforms: Azure (ADF, ADLS/Blob, Synapse Analytics)Database Systems: Advanced SQL (Oracle, MySQL), NoSQL, Data WarehousingBusiness Intelligence Tools: Tableau, Power BI, Cognos, MicroStrategyCRM & Integration: SalesforceProfessional Achievements:Led the implementation of 35% cost-saving initiatives by optimizing ETL workflows in healthcare and retail sectors.Achieved more performance by restructuring data pipelines to reduce processing time by 60%.Collaborated on cross-functional teams to scale data architecture to manage TB's of data.Continuous Learner & Innovator:I am passionate about staying on the cutting edge of data engineering by continually exploring new technologies and trends in cloud computing, distributed systems, and machine learning. I am committed to lifelong learning and regularly engage in technical training and certifications.Beyond the technical realm, I am a fitness enthusiast and avid traveler, always eager to explore new destinations and cultures.