🚀 Data Engineer | Big Data & Cloud Enthusiast | AI & Analytics Practitioner
I am a Software Engineer with 3 years of experience in designing, developing, and integrating RESTful APIs, managing databases, and building scalable data pipelines for real-time analytics and AWS cloud-based data solutions. Passionate about distributed systems, AI-driven analytics, and financial data processing, I excel at developing robust ETL workflows, optimizing SQL queries, and architecting cloud infrastructure to support large-scale data applications efficiently.
💡 What I Do:
🔹 Data Engineering & Analytics → Design & optimize data architectures for high-performance processing.
🔹 Big Data & Cloud Solutions → Work with Spark, Kafka, Snowflake, AWS (Glue, Lambda, Redshift), GCP (BigQuery), and Azure to manage and scale data pipelines.
🔹 AI & Generative Models → Experimenting with retrieval-augmented generation (RAG) and vector databases for AI-driven applications.
🔹 Real-time Data Processing → Leveraging Kafka, Spark Streaming, and Flink to handle event-driven architectures.
🔹 End-to-End ETL Workflows → Automating and optimizing data ingestion, transformation, and warehousing.
💼 LinkedIn → Connect with me
📂 GitHub → Check out my work
📧 Email → [email protected]
I’m always open to collaborations, new opportunities, and AI-driven data challenges.
If you’re working on something exciting in Data Engineering, Big Data, or AI, let’s chat! 🚀
📫 Let's connect and explore opportunities for collaboration. You can reach me on LinkedIn or drop me an email at [email protected]. I'm excited about the endless possibilities of data analytics and engineering, and I'm always eager to learn and contribute to meaningful projects.