data engineering , Java, Database Design, Data Modeling, Big Data Technologies, Data Warehousing, Azure, Python, AWS

data engineering , snowflake , BigQuery, Data Modelling, Kafka, Redshift, Sql, ELT, Hive, Kinesis, Presto, Docker, Terraform, Spark, Python, Etl, AWS, Airflow, Pubsub, Trino, Delta Lake

snowflake , S3, Kafka, ELT, Ec2, RDBMS, Python, Data Transformation, Pyspark, RDS, Aws Services, Emr, Sql, Spark, Databricks, Etl, scraping methods and tools, Advanced Web-crawling, Building end-end Data Engineering pipelines, Kafka Streaming, Github actions, Glue, Workflow automation, SQL Data warehouse

Nodejs, Data Modeling, Python, Java, Bi Tools, Api Development, Scala, Sql, orchestration tools, Warehousing, AI coding assistants, AI-powered automation tools, non-relational databases, semantic search, ETL pipelines, knowledge graph technologies, prompt engineering, agentic workflows, AWS technologies, infrastructure-as-code, Gen AI enhanced development pipelines, AI agents, CI CD practices, ML frameworks

Design Patterns, Agile Methodologies, Distributed Systems, Data Governance, Python, Database Internals, Public Cloud engineering concepts, observability

Azure Data Factory, Data Modeling, Pyspark, Data Warehousing, Azure Databricks, Metadata-Driven Data Engineering, Azure SQL Database, AI ML Data Preparation

data engineering , Pyspark, AWS Glue, Data Warehousing Concepts, Etl Development, Python, Sql, AWS EMR, Data Pipeline Design