Neeraj Shivhare

Cloud Data Architect/Engineer with 12+ years of experience in designing, developing, and implementing cloud-native, AI-driven, and data-driven solutions. Proven expertise in ETL/ELT development, Data Warehousing, Database Management, and AI/ML, with hands-on experience in building Generative AI solutions and designing AI CI/CD pipelines for multiple industries. Skilled in leveraging Google Cloud Platform (GCP) services like Vertex AI, Dataflow, Dataproc, Pub/Sub, BigQuery, and Spanner to deliver scalable, high-performance data architectures. Deep experience in metadata management, data modeling, big data, SQL & PL/SQL development, and quality assurance. Proficient in designing, maintaining, and optimizing Extract Transform Load (ETL) processes to move large volumes of data into structured operational databases for real-time analytics and AI model integration. SKILLS: AI/ML & Generative AI: Expertise in developing Generative AI solutions and deploying LLM models (such as Google Gemini), with end-to-end pipelines for multimodal use cases. Cloud Platforms: Deep experience with Google Cloud Platform (GCP), AWS, and Azure, including infrastructure and services for data and AI. GCP Data & AI Services: Extensive hands-on experience with Vertex AI, Vertex AI Pipelines, AutoML, Dataflow, Dataproc, Pub/Sub, BigQuery, Spanner for building scalable, AI-driven solutions. ETL/ELT Development: Expertise in ETL tools like Talend, AWS Glue, and GCP Data Fusion for data migration, ingestion, and transformation. Data Architecture & Modeling: Strong capabilities in data architecture, data modeling, and database management using platforms like Redshift, Aurora, PostgreSQL, and MySQL.