Data Modeling, Pyspark, AWS Glue, Sql, Terraform, Python, Etl Development, AWS Step Functions, AWS EventBridge, AWS IAM Security Best Practices, S3-based Data Lakes, Data Validation Reconciliation Frameworks

Data Modeling, Pyspark, Data Warehousing Concepts, Sql, Azure Synapse Analytics, Databricks, Python, ETL ELT Development, Azure Data Lake Storage ADLS, Performance Optimization and Troubleshooting, CI CD and DevOps practices, Azure Data Factory ADF, Delta Lake, Microsoft Fabric

Apache Airflow, Metadata Management, Pyspark, Big Data, Data Lake, Data Warehousing, Data Governance, Sql, AWS

BigQuery, Data Modeling, Ci, Kafka, Sql, ELT, Apache Airflow, Git, Gcp, Docker, Kubernetes, Python, Etl, cd, Google Cloud Composer

Postgres Sql, Debugging, Pyspark, Data Modeling, Data Warehousing, Sql, Data Analysis, Azure cloud ecosystem, Performance optimization, Enterprise data flows, ETL pipelines

Github, Adf, Azure Databricks, Python, Databricks Apps, Azure SQL DB, Medallion Architecture, CI CD, Prompt Engineering, Azure AI Foundry, Llm

data discovery , Google Cloud Platform, Data Quality, Kafka, Slas, Data Modeling, Data Lineage, Sql, Metadata Management, Python, Data lakehouse principles, cdc, SCDs, Streaming architectures, Google BigQuery, Dimensional models, Pub Sub, Observability practices, AI ML use cases, SLOs, Google Cloud Storage, Data pipelines, Data versioning

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

Scipy, AWS Athena, Apache Airflow, Data Cleansing, Pandas, Gcp, Numpy, Spark, Python, Google Datalab, Apache Druid, scikit-learn, DevOps practices, MLlib, Python Notebooks, Google BigQuery, Imply, Zeppelin, Jupyter

Java, Quicksight, S3, Redshift, Python, AWS, Etl, Redshift Serverless, cdc, Glue, Go