data engineering , snowflake , Ml, Denodo, Power Bi, Pyspark, Azure Databricks, Automation, Devops, Azure Data Factory, FastAPI, Azure, Python, Azure DevOps, Azure App Services, Ai, Azure Key Vault, ADLSv2, YAML pipelines, Azure Cognitive Services

Sql, Kinesis, Kafka, AWS, Cloudformation, Python, Azure, Gcp, Terraform, Spark, dbt, Airflow, Prefect, Dagster, Pub Sub, DataOps practices

snowflake , Apis, Kafka, Data Modeling, Microservices, Sql, Kinesis, Distributed Systems, Spark, Databricks, Python, Apache Iceberg, Airflow, Flink, dbt, Dagster, Delta Lake, Fivetran

Kafka, Emr, Redshift, Sql, Hive, Spark, micro-services architecture, Airflow, scalable data pipelines, column stores, low-latency analytics, Flink, Apache projects, Relational Databases, AWS data services, Athena, streaming pipelines

Java, Hive, Hadoop, Scala, Spark, Kafka, Kubernetes, Python, Trino, Flink

snowflake , BigQuery, Machine Learning, Data Analytics, Redshift, Sql, Pandas, Javascript, Databricks, Python, generative AI, prompt engineering, agent lifecycle management, Data Cloud, Salesforce Agentforce, R, D360, Jupyter, AI architectures, MuleSoft APIs

compaction , ECS, Typescript, Kafka, Cloudformation, Terraform, S3, Data Modeling, Data Quality, AWS, Kubernetes, Python, Docker, Spark, Data serving layers, Flink, Streaming pipelines, Data lakes, Schema evolution, Access Control, Pipeline monitoring, Partitioning, Data ingestion frameworks, Governance, Go, Data isolation, Lakehouse architecture, Apache Iceberg, Data observability

snowflake , Apache Spark, Sql, Django, Azure Functions, Postgres, Databricks, FastAPI, Python, Pytest, Azure Blob Storage, Ray, Prefect, GitHub Actions, dbt, Metaplane