pruning , Pyspark, React, Hive, Spark, Python Programming, Langchain, monitoring ML LLM systems, LLM applications, UDFs, feature engineering, feature selection

catalog , Adf, Logging, Pyspark, ELT, Python, Azure DevOps, Workflows, Version Control, Testing, Sql, Databricks, Etl, lineage, data quality frameworks, observability tools, distributed data processing frameworks, Access Control, data governance concepts, Monitoring, ADLS, Notebooks, Delta Lake, Azure data services

snowflake , Matplotlib, Power Bi, Sql, Numpy, Pandas, Machine Learning Algorithms, Seaborn, Statistical Analysis, Python, LLM NLP Techniques, Data Visualization Tools, Supply Chain Concepts, Applied Statistics, Operations Research, Streamlit

data discovery , Distributed Systems, Siem, Python, AWS, REST, Gcp, Pci, Itam, Azure, data catalog platforms, modern data architectures, data lakes, data classification, data classification methodologies, enterprise-scale integrations, SOAR, event-driven architectures, security analytics platforms, CMDB systems, DSPM, APIs and integration patterns, PII, structured data ecosystems, regulatory frameworks, unstructured data ecosystems

Golang, Distributed Systems, Kafka, Typescript, Python, Java, Hadoop, Data Structures, Algorithms, Spark, Langchain, Flink, LLM serving and inference frameworks, LangGraph, MCP tool-calling, CrewAI, fine-tuning, secure agentic workflows, OAuth-based authentication, prompt engineering, AutoGen, Retrieval-augmented generation, agent orchestration, applied AI