Azure Data Engineer with 6+ years of experience in designing, optimizing, and implementing scalable data solutions across industries such as Software, Health, Hygiene, Nutrition, Packaging and Finance. Skilled in Azure Data Factory, Databricks, Apache Spark, SQL, Python and CI/CD automation, with a strong track record of improving data processing efficiency, reducing costs and enhancing system performance. Key Achievements & Expertise: ✓ Optimized Azure Data Factory & Databricks pipelines, reducing data processing time by 90% (from 5-6 hours to under 30 minutes), cutting cloud costs by 30%, and improving query performance by 2x. ✓ Architected scalable data models supporting $50M+ in annual freight transactions, ensuring high-performance data processing. ✓ Led migration of 50+ SQL workloads to Azure Databricks, improving query execution speed by 60% and accelerating deployments by 3x through CI/CD automation. ✓ Streamlined Azure Data Lake storage, reducing raw data storage by 4+ GB per week and lowering cloud storage costs by 20%. ✓ Enhanced data analysis performance by 40% using SQL, Spark, and Python, transforming 10TB+ datasets for global healthcare clients. ✓ Published a research paper on Data Cleaning at an IEEE Conference, accumulating 62 citations and 2407 full-text views. Technical Skills: ‣ Programming & Data Processing: Python, SQL, SparkSQL, Apache Spark ‣ Azure Technologies: Azure Data Factory, Databricks, Azure Synapse, ADLS, Microsoft Fabric ‣ DevOps & Automation: Azure DevOps, CI/CD, SSIS ‣ Database & Storage: MySQL, MS SQL Approach & Mindset: ✓ Strong problem-solving ability, ensuring efficient and optimized data solutions for complex business challenges. ✓ A collaborative and results-driven approach, working closely with stakeholders to deliver data- driven insights and business value. ✓ Passionate about continuous learning, staying up to date with emerging technologies and industry best practices in Data Engineering and Cloud Computing. Key Clients: ✓ Philips : https://www.philips.co.in ✓ Reckitt Benckiser : https://www.reckitt.com ✓ PepsiCo : https://www.pepsico.com ✓ Ball Corp : https://www.ball.com Let's Connect: Open to discussions on Data Modelling, cloud optimization and business intelligence solutions. Always eager to learn and collaborate on innovative projects that maximize data potential and drive business growth.