I am a Data Engineer with 5 years of experience specializing in building scalable, high-performance data pipelines and analytics solutions for the financial sector. My expertise lies in architecting end-to-end data solutions that drive business intelligence, regulatory compliance, and operational efficiency. Technical Expertise 🔹 Programming Languages: Python, PySpark, SQL, R 🔹 Cloud & Data Engineering: Azure Data Factory, Azure Databricks, Azure Data Services 🔹 Big Data Frameworks: Apache Spark, Apache Hive 🔹 Orchestration & Automation: Autosys, Linux/Unix scripting 🔹 Advanced Analytics & ML: Machine Learning for financial modeling and risk analysis 🔹 Data Architecture: Dimensional modeling, star schemas, data warehousing 🔹 Data Visualization: Designing dashboards and reports for strategic decision-making Key Contributions ✔ End-to-End Data Solutions: Spearheaded projects from ingestion to transformation, analysis, and visualization. ✔ Optimized Financial Data Processing: Built scalable models that enhance performance while ensuring regulatory compliance. ✔ Bridging Engineering & Analytics: Translated complex datasets into meaningful insights for business stakeholders. ✔ Performance & Scalability: Leveraged cloud and big data technologies to handle large-scale financial datasets efficiently. I am passionate about leveraging modern data engineering practices to solve complex business challenges in the financial industry, ensuring data integrity, security, and scalability remain at the core of every solution. Let’s connect and explore how data-driven solutions can transform decision-making!