🎓 Education:

• MS in Computer Science & Engineering from University at Buffalo, The State University of New York. Specialized in Data Intensive Computing, Algorithms for Modern Computing Systems, and Machine Learning.
• BE in Computer Technology from Yeshwantrao Chavan College of Engineering.

🚀 Professional Experience:

• Solutions Architect Intern at Brainchip Inc.: Developed FastAPI web-based GUI tools, streamlined integrated circuit scaling, and automated unit testing with Pytest and Drone.
• Data Engineer at Walmart Global Tech: Led ETL mappings on GCP, optimized PySpark pipelines, and spearheaded data migration projects.
• Big Data Developer at Capgemini: Optimized Spark applications, designed data lakes, and pioneered automation using Azure Logic Functions and Azure Data Factory.

🔧 Technical Stack:

• Languages: Python, SQL, Java, Scala, C++, R, Bash
• Big Data: Apache Kafka, Apache Hadoop, MapReduce, Databricks, ElasticSearch
• Cloud Platforms: GCP, AWS, Azure
• DevOps: Docker, Kubernetes, Jenkins
• Databases: SQL Server, Oracle, MySQL, MongoDB, Cassandra, HBase

** Well my resume provides a history of all the good stuff, like my qualifications, experience, and killer sense of humor. Okay, maybe not the last one, but it's worth a shot, right? You can find my resume at - Resume

🌱 Currently Exploring: Sustainable and Efficient AI, Serverless Deployments, and Deep Learning.

Connect with me:

👇 Check out my repositories to see my hands-on projects and contributions!