data engineering , Metadata Management, Automation, Devops, Data Quality, Advanced Analytics, Testing, Data Ingestion, Data Lakes, Data Modernization, Governance, Data Platforms, Enterprise Reporting, MDM, Lakehouses, Observability

Azure, Pyspark, Sql, Recommender Systems, Gcp, Spark, Python, AWS, Airflow, embeddings, Generative AI, real-time personalization, LLMs, AI ML methods, dbt

Machine Learning, Data Warehousing, Python Programming, ETL Processes, SQL Databases

propensity modelling , snowflake , Data Architecture, Personalization, Databricks, experiment tracking, model versioning, observability infrastructure, data contracts, ML lifecycle governance, ML CI/CD, NLQ design, enterprise AI observability, agentic workflows, LLM architecture, RAG, intelligent automation, Python-based AI engineering

Data Architecture, Cloud Computing, Big Data, Machine Learning, Data Pipeline, SQL Databases, ETL Processes

snowflake , Java, Cloudformation, Scala, Data Warehousing, ELT, Git, Docker, Terraform, Spark, Data Governance, Databricks, Kubernetes, Python, AWS, Etl, Powerbi, Microsoft Azure, LLM-based systems, GenAI, RAG vector search, data observability