With 12+ years of experience in Data Engineering, MLOps, and Cloud, I specialize in designing, building, and optimizing scalable data platforms for AI and analytics. Technical Expertise: ✅ Big Data & Streaming: Hadoop (MapReduce, Hive, HBase, Pig, Sqoop), Spark (Batch & Streaming), Kafka (Confluent & Mirror), Storm, Airflow, Presto ✅ Cloud & DevOps: AWS (EC2, S3, Lake Formation, IAM, EMR, Lambda, Redshift, DynamoDB, Managed Kafka), Docker, Kubernetes, Git, Jenkins ✅ Databases & Storage: Snowflake, Cassandra, MongoDB, Redis, SAP HANA, Sybase ASE, Sybase Replication Server ✅ Machine Learning & AI: Nvidia CUDA, TensorRT, LLM Model Deployment, GenAI (Tensort-LLM) ✅ IoT & Edge Computing: ThingsBoard IoT, NB-IoT ✅ Data Pipelines & Optimization: Spark Job Tuning, Join Optimization, Performance Debugging, Failure Management Key Contributions: 🔹 Managed Hadoop clusters and integrated BI tools (Tableau, Pentaho, Superset) 🔹 Built Spark Structured Streaming pipelines with Kafka & Oracle, ensuring fault tolerance 🔹 Designed scalable data architectures for cloud-based solutions across AWS and OCI 🔹 Led Agile teams, handled direct client interactions, and delivered high-impact solutions