data engineering , Java, C#, Pyspark, Scala, Azure Databricks, Azure Synapse, Azure Data Factory, Python, Databricks Unified Data Analytics Platform, Microsoft Azure Data Services, Azure Data Lake Storage Gen 2, Scripting and programming languages, Data quality and consistency, Azure Blob Storage, Cloud-based data storage and processing solutions, Azure Fabric, ETL frameworks, Data Architecture Principles, Data pipelines, Monitoring and troubleshooting data workflows

Distributed Computing, Hadoop, Pyspark, Data structures, Unix Scripting, Data Management, Python, Cloud environment, Data Ops, CI/CD, Data pipelines, Data transformation and integration

snowflake , Databricks, Pyspark, Spark, Etl

table design , snowflake , BigQuery, Data Modeling, Redshift, Sql, ELT, Jenkins, Query Tuning, Python, Etl, Airflow, ML feature engineering, GitHub Actions, CI/CD pipelines, dbt, AWS SageMaker, Dagster, workload management

Cloudformation, Pyspark, Sql, Apache Airflow, Lambda, Cloudwatch, Terraform, Presto, Etl, Aws S3, Apache Iceberg, Step Functions, EventBridge, SageMaker, Lake Formation, Glue, Trino, Athena, Fivetran

Data Quality, Typescript, Data Modeling, Pyspark, Data Governance, Azure, AWS, Etl, ELT, Palantir

Java, S3, Scala, AWS Glue, Emr, Redshift, Sql, Big Data Technologies, Nosql, Lambda, Python, AWS, data quality governance, data pipeline troubleshooting, security best practices

Pyspark, SQL Server, AWS Glue, Apache Spark, Postgres, AWS Athena, Visual Studio, SSIS, Python, Sql, S3, Ec2, Redshift, Matillion, Step Functions, Lambda functions, AWS Analytics services, Data-Pipelines