Rishi K Email & Phone Number

Experienced Data Engineer and AI/ML Developer with over 6 years of expertise in architecting scalable data infrastructure, optimizing big data solutions, and deploying machine learning models in production environments. Currently serving as a Senior Data Engineer at Johnson & Johnson, I specialize in building robust data ecosystems that power real-time analytics and drive AI innovation across the organization.Data Engineering Expertise:Data Warehousing: Proficient in architecting scalable data warehouses and leveraging ETL pipelines to efficiently process and store vast datasets, enabling seamless integration across multiple data sources.Big Data Frameworks: Hands-on experience with Apache Hadoop and Spark to process large-scale data and deliver actionable insights, integrating distributed computing solutions for high-performance data processing.Cloud Technologies: Extensive knowledge of AWS and Azure cloud ecosystems, utilizing services like Redshift, S3, EMR, Lambda, and Databricks for secure, and cost-effective data infrastructure.Data Modeling & Databases: Expert in designing complex data models, proficient with SQL, NoSQL databases, and schema design to ensure data integrity, availability, and optimized performance across relational and non-relational systems.ETL & Automation: Track record of developing highly efficient ETL processes and leveraging Python for data manipulation, automation, and pipeline orchestration, with a focus on minimizing latency in real-time data flow.AI/ML Development Proficiency:AI/ML Pipelines: Experienced in designing and implementing end-to-end machine learning pipelines, from data ingestion and preprocessing to model training, deployment, and monitoring in production environments using AWS Sagemaker and Azure ML.NLP & Predictive Modeling: Skilled in building and deploying natural language processing (NLP) models for sentiment analysis, text summarization, and anomaly detection using frameworks like TensorFlow, PyTorch, and Hugging Face.MLOps & Automation: Expertise in deploying CI/CD pipelines for ML workflows, containerizing AI models using Docker, and ensuring seamless integration with Kubernetes for scalable machine learning applications.I am passionate about leveraging cutting-edge AI technologies to unlock the potential of data and drive business transformation. I thrive in cross-functional teams, blending data engineering with AI/ML capabilities to build intelligent, data-driven products.Let's connect to discuss collaboration opportunities and innovations in data engineering and AI/ML solutions.