I am a seasoned Cloud Data Engineer professional with about 4 years of experience designing and implementing scalable, secure, and high-performance data solutions. My career has spanned large-scale cloud migrations, real-time ETL pipeline development, and advanced data strategy consulting across the finance, insurance, and public sectors. At Deloitte USI, I’ve led the development of cloud-native data frameworks, automated ingestion systems, and performance-optimized analytics solutions — delivering business value, reducing infrastructure costs by up to 30%, and unlocking 90% process efficiencies. I've also played a key role in stakeholder collaboration, product design strategy, and AI use-case development. With a strong foundation in Python, PySpark, SQL, AWS ecosystem (S3, Glue, Lambda, Redshift, EMR, Athena) and Azure (Databricks, Data Factory, Data Lake Storage), I bridge the gap between deep tech and business impact. I thrive in fast-paced, collaborative environments and am passionate about using AI, cloud, and data engineering to solve real-world problems. 🧠 Certified in: • AWS Data Engineer Associate, Developer Associate, Cloud Practitioner • AWS AI/Generative AI Certifications • Deloitte AI Academy 📌 Let’s connect if you’re interested in: Cloud data strategy & modernization Business-aligned data architecture Generative AI in enterprise Roles at the intersection of tech, consulting, and innovation