I will build scalable big data solutions using hadoop, spark, kafka and mongodb

I combine real-world experience in real-time pipelines, distributed systems, and AI engineering with hands-on implementation using Kafka, Spark Structured Streaming, SQL/NoSQL databases, and GenAI. I don’t just build systems—I deliver scalable, production-ready pipelines with measurable results.

Absolutely. I can build complete low-latency pipelines from ingestion to processing to storage, based on Kafka topics and Spark Structured Streaming—designed for scalability, reliability, and fault tolerance.

Yes. I can work with PostgreSQL, MongoDB, InfluxDB, and others to combine transactional storage, flexible NoSQL structures, and time-series capabilities within a single architecture.

Yes. I have experience building pipelines that extract, transform, and stream data from industrial PLCs and IoT devices, integrating them into Kafka and storing them for analytics and visualization.

Yes! I build: -NLP pipelines -Embeddings-based search systems -GenAI tools using LLMs -RAG systems to enrich models with your internal data This allows you to transform raw data into intelligent, queryable knowledge.

Yes. I can deploy Big Data and AI architectures on: -AWS -Azure -Google Cloud -Oracle Cloud Infrastructure Including containerization (Docker) and basic orchestration.