snowflake , PostgreSQL, Scala, Pyspark, Kafka, Microsoft Sql Server, Bash, Kotlin, Redshift, Numpy, Pandas, Kinesis, Gcp, Linux, MySQL, Databricks, Azure, Python, AWS, Go, Dask

BigQuery, Pyspark, Numpy, Cloud Storage, Pandas, Docker, Kubernetes, Python, GCP Core Services, Cloud Functions, API integrations and REST services, Jenkins or similar, Cloud Dataflow, Real-time streaming architectures, Cloud Dataproc, Pub Sub, GitHub Actions, Cloud Run

Pandas, Machine Learning, Numpy, Matplotlib, Data Architecture, Sql, Python, AWS, data models, AI workflows, data pipelines

Apis, Version Control, Maven, Pyspark, Performance Tuning, Apache Spark, Sparksql, Data Modeling, Sql, Jenkins, Databricks, Python, AWS, Scaled Agile methodologies, workflow orchestration, CI CD, Data Fabric, Data Mesh

Pyspark, Etl Tools, Hadoop, Data Modeling, PostgreSQL, SQL Server, Kafka, Informatica, Sql, Database Design, Apache Nifi, Apache Airflow, Amazon Redshift, MySQL, Big Data Technologies, Spark, Talend, Python, AWS, Google BigQuery, Data Warehousing Solutions

Apache Hadoop, Apache Flink, Flume, PostgreSQL, Amazon Kinesis, Amazon S3, Pyspark, Apache Spark, SQL Server, Kafka, Sql, Jenkins, Amazon Redshift, MySQL, Azure Synapse Analytics, Apache Beam, Oracle, Google BigQuery, Azure Data Lake Storage, Delta Lake, Google Cloud Pub Sub

authentication protocols , Java, Paas, Data Security, Unit Testing, Scala, Hive, Tdd, Qa Validation, Integration Testing, Spark, Data Governance, Databricks, Azure, Python, Azure DevOps, real-time streaming, privacy and regulation, Delta lakes, Batch Processing, Big Data design patterns, distributed computing tools, big data pipelines

Hadoop, Spark, AWS Glue, Data Warehousing, Data Modeling, Python, Sql, ETL pipeline development

Aws Lambda, Amazon Redshift, Pyspark, AWS Glue, Python, Sql, Aws S3