Pyspark, Apache Kafka, Azure, Python, AWS, Delta Lake on Databricks, CloudShell, Databricks Workflows

snowflake , SQL Server, Azure, Sql

monte carlo , snowflake , Kafka, Kinesis, Terraform, Python, AWS, BigQuery, Pulumi, Sql, Gcp, Databricks, Azure, Airflow, Apache Iceberg, Debezium, Great Expectations, SQLMesh, Prefect, SoDA, Dagster, dbt, Delta Lake, Redpanda

Kubernetes, Sql, Lambda, Pyspark, Git, Scala, S3, Shell scripting, Github, Kinesis, AWS, Python, Docker, Ec2, Redshift, AI coding assistants, LlamaIndex, Airflow, dbt, GenAI, Glue, LangChain, RAG pipelines, LLM tools, prompt engineering

snowflake , Power Bi, Tableau, Sql, ELT, Git, Python, Etl, Airflow, AI-assisted development workflows, GenAI tooling, dbt, CI/CD, Streamlit

Debugging, Azure Databricks, Sql, Azure Data Factory, Python, Etl, Data Quality Governance, Logic Apps, Azure Function Apps, Troubleshooting, MDM, Live Data Pipelines, ADLS2

Azure Synapse, Azure Data Factory, Google Cloud Platform, Power Bi, Sql, Python, Looker

snowflake , SQL Server, Sql, Python, Microsoft Azure, ETL processes

bigtable , BigQuery, Performance Tuning, Hadoop Ecosystem, Pyspark, Apache Spark, Data Modeling, Dataproc, Sql, ELT, Data Integration, DataFlow, Python, Etl, Cloud Functions, Optimization of large-scale data processing workloads, Cloud Composer, Google Cloud Storage, Pub/Sub