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

Workflows, Pyspark, Kafka, Azure Databricks, Gcp, Advanced Sql, Azure, Data Quality Frameworks, Advanced Python, Data Pipelines, CI CD, Unity Catalog, Delta Lake

graph databases , object storage , AWS Glue, Data Modeling, Sql, key-value stores, IAM roles and permissions, non-relational databases, Warehousing, column-family databases, ETL pipelines

data engineering , snowflake , Github, Pyspark, PostgreSQL, Data Warehousing, Numpy, MySQL, Python, AWS, Data Modelling, Api Development, Sql, Jenkins, Git, Pandas, Gcp, Databricks, Azure, Aws S3, machine learning workflows, Dash, Agentic AI frameworks, BI ETL development, NoSQL databases, cloud platforms, AI-driven analytics, microservices architecture, CI CD pipelines

snowflake , Hadoop, Scala, Apache Spark, Sql, Git, Docker, Azure, Kubernetes, Python, dbt, ETL processes

snowflake , Java, S3, BigQuery, Scala, Apache Spark, Redshift, Sql, Gcp, Docker, Databricks, Apache Beam, Azure, Kubernetes, Python, AWS, HDFS

Pyspark, BigQuery, Data Quality, Iam, Spark, DataFlow, AI ML, enterprise data governance, GenAI, cloud-native architecture, GCS

Spark SQL, Pyspark, Xml, Azure Databricks, Json, Data Modeling, Sql, Etl, Delta Lake, Azure Data Lake ADLS Gen2