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

Pyspark, Data Modeling, ELT, Cloud Storage, Numpy, Docker, Terraform, Python, BigQuery, Sql, Jenkins, Pandas, Spark, Kubernetes, Etl, GCP Core Services, Infrastructure as Code, Cloud Dataflow, Real-time streaming architectures, CI CD, Pub Sub, Cloud Run, GitHub Actions, API integrations, Cloud Functions, Cloud Dataproc, Cloud Composer Airflow

data engineering , snowflake , Data Management, Hadoop, Performance Tuning, Dimensional Modeling, Data Modeling, Redshift, Sql, Data Quality, Hive, Spark, Data Integration, Python, Airflow, big data systems, data warehouse scaling, ETL pipelines

Spark SQL, Distributed Computing, Metadata Management, Pyspark, Data Warehousing, Apache Spark, Kafka, Sql, Data Quality, Git, Kinesis, Databricks, Data Integration, Python, AWS, CI CD, streaming technologies, lakehouse architecture, access controls, Delta Lake, lineage governance, Databricks Workflows

data engineering , Sql, Relational Databases

Hadoop, Scala, Data Governance, Data Modeling, Data Warehousing, Sql, ELT, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Spark, Microsoft Azure, Databricks, Python, Etl, DevOps practices, Azure Blob Storage, HDInsight, Privacy protocols, Compliance standards

snowflake , BigQuery, Hadoop, Scala, Kafka, Redshift, Sql, Gcp, Spark, Databricks, Azure, Python, AWS, Airflow, Flink, Prefect, Synapse

Spark, Databricks, Sql, Python, Scala, Pyspark, Azure cloud data services, MLflow, Delta Lake

Databricks, Azure, Automation, Python, Sql, Airflow, dbt, Py-spark

snowflake , Aws Lambda, BigQuery, Agile Methodologies, Emr, Redshift, Sql, Spark, Python, GCP Dataflow, Pub Sub, Glue