tokenization , snowflake , AI ML, Gcp, Azure Functions, Azure, Azure Machine Learning, Python, AWS, LangChain, ML algorithms, model training, Cognitive Services, Hugging Face, Azure OpenAI, prompt engineering, Gen AI, OpenAI, model optimization

Sql, Data quality control techniques, Business intelligence, Data management protocols, ZEMA software, Data management principles

S3, Github, Performance Tuning, Agile Development Methodologies, Pyspark, Emr, Redshift, Sql, ELT, Lambda, Git, Iam, Data Warehousing, Python, Etl, AWS Data Services, Glue, Optimization of Spark applications, Athena

.NET, data engineering , C#, Metadata Management, Adf, Data Architecture, ELT, Nosql, Javascript, Data Lake, Python, Data Modelling, Sql, Devops, Data Quality, Data Governance, Databricks, Azure, Etl, lakehouse, data pipelines, model training, model deployment, agile delivery, warehouse design, Synapse, ML fundamentals, Azure Data Engineering, CI/CD

Kafka, API design, Data Modeling, Microservices, ELT, Distributed Systems, Python, Java, BigQuery, Hadoop, Data Quality, Hive, MLops, Spark, Data Governance, Databricks, Fault Tolerance, Kubernetes, Etl, Airflow, GenAI, LLM tooling, event-driven patterns, asynchronous processing, cloud-native practices, observability, Big Data ecosystem, HDFS, Delta Lake, CI/CD