Data Quality (DQ) rules, Metadata Management, Unix, Databricks, Python, Data lineage techniques, Master data management, Data modeling methodologies, Big Data storage architecture

Workflows, Apis, Cloudformation, Pyspark, Sql, Devops, MLops, Terraform, Spark, Databricks, Azure, Python, AWS, Databricks Lakehouse, dbt

Azure Data Factory, Pyspark, Databricks, Sql, Azure DevOps, CI CD workflows, ADLS Gen2, Event Hub, Azure-native technologies, Azure SQL Database

snowflake , BigQuery, AWS Glue, Redshift, Sql, Data Integration, Azure Sql, ELT, Azure Data Factory, Gcp, Data Architecture, Databricks, Azure, Python, AWS, Etl, Airflow, Cloud Data Platforms

snowflake , Java, Scala, Pyspark, Apache Spark, Sql, Gcp, Terraform, Docker, Databricks, Azure, Python, Kubernetes, AWS, Airflow, Deequ, Great Expectations, Prefect

Java, Scala, Restful Apis, Kubernetes, Python, Sql, OLAP and OLTP systems, big data engineering

bigtable , Pyspark, PostgreSQL, Kafka, Avro, Cloud Storage, Terraform, Docker, Elasticsearch, Python, Spark SQL, Java, BigQuery, Google Cloud Platform, Scala, Apache Spark, Dataproc, Sql, Oop, DataFlow, Kubernetes, Airflow, Pub Sub, Cloud Composer, Parquet

Automated Testing, ELT, Python, Apis, Sql, Git, Data Quality, Spark, Databricks, Etl, file-based integration, lineage, CI CD, access controls, metadata, observability, data pipeline development, workflow orchestration, event processing, data contracts, Unity Catalog, data models, transformations, Delta Lake, cloud data platforms

Scikit-learn), Machine Learning frameworks (TensorFlow, Sql, Pytorch, Python, Gcp, LangChain, Generative AI, MLflow, LangSmith, LangGraph, GraphQL APIs, Langfuse, Azure AI, LlamaIndex, Anthropic Claude, Google Gemini, OpenAI, Large Language Models

bigtable , Google Cloud Platform (GCP), Data Modeling, Pyspark, Scala, Json, Avro, Sql, Git, DataFlow, Python, Google BigQuery, PARQUET, CI/CD