Shrinidhi Kulkarni

With a more than a decade of experience crafting scalable data ecosystems for complex business landscapes, I am passionate about building innovative data pipelines and resilient, AI-powered platforms. As a Data & AI Architect, I specialize in modern data architecture and GenAI, Agentic solutions to ensure technical ecosystems align seamlessly with evolving client business goals and drive intelligent decision-making.

Known for my strategic leadership and creative mindset, I excel at tackling intricate data challenges with pragmatic, out-of-the-box thinking. I pride myself on bridging the gap between technical execution and business strategy, mentoring engineering teams, and guiding clients through their data and AI transformation journeys.

Skills:

• Data & Cloud platforms: Databricks, AWS, GCP and Microsoft Azure.
  
  
• Architectural foundations: Data Lakehouse, Data Mesh, Event-driven systems (Apache Kafka) and Lambda/Kappa architectures.
  
  
• Data engineering & processing: Apache Spark, Apache Airflow, dbt, Flink and robust ETL/ELT pipeline design.
  
  
• Artificial intelligence & ML: Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), LangChain, MLOps, Custom Agents and Prompt Engineering.
  
  
• Leadership & strategy: Technical roadmapping, cross-functional team leadership, client platform architecture, stakeholder management and engineering mentorship.
  
  
• Polyglot programming: Python, SQL, Scala and Java.