I’m a Lead Data Engineer at Mastercard, working with the AI & Decision Product Enablement team to build scalable, high-performance data platforms that power analytics, AI use cases, and business decision-making at scale. I bring 6+ years of hands-on experience designing and optimizing end-to-end data pipelines — from ingestion and streaming to transformation, governance, and analytics — in large, production-grade environments. What I specialize in: • Building batch & streaming pipelines using Apache Spark and Kafka • Designing cloud-native data platforms on Microsoft Azure • Implementing Lakehouse architectures using Databricks & Delta Lake • Writing clean, efficient code in Python, SQL, and Scala • Ensuring performance, reliability, and cost optimization at scale. 🎓 Ex-Accenture | ☁️ 3× Azure Certified 🚀 Passionate about mentoring, content creation, and simplifying complex data concepts 🌱 Actively exploring GenAI use cases in Data Engineering Happy to connect if you want to talk about: • 🟢 Data Engineering & Big Data Architecture • 🟢 Cloud Data Platforms (Azure, Databricks) • 🟢 Career growth in Data Engineering • 🟢 Content creation & technical education To learn data engineering: www.bigdatayatra.com 📩 For collaborations or queries: [email protected]