Apache Airflow, Hive, Hadoop, Spark, Python, HDFS

Cloud platforms (preferably GCP), Java, Apache Spark, Sql, Git, Gcp, Linux, Docker, Apache Kafka, Databricks, Python, Airflow, CI/CD pipelines, ETL pipelines

Gcp, Scala, Big Data Technologies, Azure, Python, Sql, AWS, Etl, Schema Design, Data Migration, DWH tools, Data Flow Diagrams

Hadoop, Pyspark, Sql, Apache Airflow, Hive, Python, Gcp, Kafka, Azure, AWS, HDFS, ETL frameworks, Glue, Flink

Python, Databricks, Data Integration, Sql, ELT, Pyspark, Testing, Etl, Data Quality, Version Control, Microsoft Azure, modern data architectures, CI CD, cloud-based data platforms

Hadoop, AWS Glue, Apache Spark, Kafka, Informatica, Apache Nifi, Apache Airflow, Hive, Etl Tools, Talend, Python, HDFS, Flink

snowflake , Sql, Databricks, Web Services, Csv, Devops, Json, Pyspark, Kafka, Spark Streaming, AWS, Xml, Python, Postgres, Delta, Text, Parquet, CI CD, MLFlow, git-based version control, Spark structured streaming, Agentic AI, web API frameworks

data engineering , Ml, Sql, ELT, Data Modeling, Data Lake, AWS, Etl, Data Quality, Python, Azure, Gcp, Data Warehouse, vector search, Ai, embeddings, data pipelines, performance optimization, RAG, Generative AI

Security amp; Reliability, Snowflake Openflow ? Apache NiFi ? ETL/ELT Pipeline Development ? Data Ingestion, Transformation amp; Integration ? Snowflake Data Warehousing ? Data Flow Optimization amp; Performance Tuning ? Data Quality