Rahul Patel — Data Engineer

📌 About Me 🎯 Data Engineer | Azure + AWS | Real-Time & Big Data Profesional 📍 Noida, India | 📞 +91-8382020852 | 📧 rahulpatelue188076@gmail.com 🔗 Portfolio: codebasics.io/portfolio/RAHUL-PATEL I’m Rahul Patel, a passionate and performance-oriented Data Engineer with 3+ years of hands-on experience in building cloud-native, scalable, and real-time data solutions using Azure, Databricks, ADF, Spark, and Power BI. 💡 My mission: Transform raw data into business value through clean architecture, optimized pipelines, and actionable insights. 🚀 Expertise At a Glance 🔹 Cloud Platforms: Azure Data Factory, Databricks, Azure Data Lake 🔹 Big Data Tools: Apache Spark (PySpark), Delta Lake, Kafka, Pub/Sub 🔹 Programming & Querying: Python, SQL 🔹 Data Visualization: Power BI, Excel (Advanced Dashboards) 🔹 Development Tools: Azure DevOps, CI/CD, Git 🔹 Key Strengths: ETL/ELT, Data Modeling, Real-Time Streaming, Data Governance 🏆 Key Projects 📍 HDFC Digital Banking (Feb 2025 – Present) • Built real-time ingestion pipelines using Kafka + Pub/Sub • Architected a 3-layer Delta Lakehouse in Databricks:   • Staging – Raw JSON capture   • Curated – Parsed & transformed data by txn_id   • Service – Report-ready aggregated tables using mapping logic • Delivered end-to-end analytics for Net Banking & Mobile Banking platforms 📍 Microsoft Bing Analytics • Developed and managed large-scale telemetry pipelines using ADF + Spark (PySpark) • Processed multi-terabyte datasets to extract user interaction insights • Ensured pipeline optimization and minimal latency for Bing usage analytics • Created reusable data frameworks for telemetry standardization 📍 Tokyo Olympics Analytics • Designed real-time dashboards and data pipelines to monitor Olympic events globally • Ingested and modeled data from live event feeds using Azure Data Lake + Databricks • Enabled stakeholders to track performance metrics and logistics in near real-time 📍 Retail Business 360° (Brick & Mortar + E-commerce) • Integrated data from multiple channels (POS systems, websites, customer apps) • Modeled unified customer and sales views using ADF + SQL + Power BI • Developed executive dashboards for sales trends, inventory, and customer behavior • Improved reporting speed and data refresh rates by 40% through optimization 🤝 Let’s Connect I love working on real-world data problems and collaborating with teams driving innovation through data. Open to networking, learning, and new opportunities in the Cloud/Data Engineering domain. Let’s build data systems that power the future! 💼📊

Stackforce AI infers this person is a Data Engineer specializing in Fintech and Cloud Data Solutions.

Location: Noida, Uttar Pradesh, India

Experience: 2 yrs 10 mos