thoughtspot , snowflake , Apis, Power Bi, Kafka, Sql, ELT, Azure Data Factory, Azure Functions, Ssas, Dax, Azure Storage, Python, Etl, Tabular Models, dbt

Aws Lambda, Amazon S3, Apache Spark, AWS Glue, Kafka, Sns, AWS IAM, Python, Apache Iceberg, Airflow, AWS EMR, EventBridge

snowflake , Aws Redshift, Power Bi, Data Warehousing, Tableau, Sql, Apache Airflow, Azure Data Factory, Azure Synapse Analytics, Apache Kafka, Databricks, Apache Iceberg, pipeline development, Google BigQuery, Looker, dbt, Delta Lake, Azure Event Hubs, Microsoft Fabric, AWS Kinesis, cloud-native data architecture, Databricks Workflows

Terraform, Pyspark, Spark, Apache Spark, Databricks, Sql, Python, Azure or AWS, Delta Lake

Adf, SQL Server, Data Warehousing Concepts, Sql, Git, Terraform, Shell scripting, Python, Data observability tooling, Containerisation technologies, GNU Linux systems, Data modelling techniques, AI-assisted development tooling, Azure Platform, ETL ELT pipelines, CI CD practices, Data quality frameworks

Docker, Cloudformation, Pyspark, AWS Glue, Python, AWS SAM, GitHub Actions, AWS CDK, Boto3

snowflake , Data Factory, Kafka, Tableau, ELT, Kinesis, Terraform, Docker, Shell scripting, Python, AWS, BigQuery, Power Bi, Cloudformation, Redshift, Sql, Git, Gcp, Spark, Databricks, Azure, Kubernetes, Etl, Airflow, Debezium, Fivetran, ClickHouse, dbt, Glue, Looker Studio

.NET, Orchestration, PostgreSQL, SQL Server, Data Modeling, Azure Sql, ELT, Postgis, Celery, Elasticsearch, Data Governance, Rest Apis, Python, Etl, embedding pipelines, cdc, ML-driven quality, pgvector, semantic matching, Kestra, Citus, AI-native approaches

Debugging, Pyspark, Data Warehousing, Sql, Data Analysis, Postgres SQL or similar RDBMS, Data modeling fundamentals, Performance optimization, Azure cloud ecosystem or equivalent cloud platforms, ETL pipelines

snowflake , Apache Airflow, Pyspark, Amazon Kinesis, Apache Kafka, Python, Sql, Delta Lake on Databricks, Data Quality Validation, Databricks Workflows