snowflake , Data Modeling, BigQuery, Kafka, Redshift, Sql, ELT, Spark, Python, Etl, AWS, Airflow, dbt, observability tooling

Azure Sql, Sql, Power Bi, Python, Microsoft Fabric

Tensorflow, BigQuery, Pandas, Pytorch, Docker, Spark, Python, Sql, Kubernetes, scikit-learn

data engineering , change data capture , Data Governance, Orchestration, Pci Dss, Gdpr, Sql, Iso 27001, Python, streaming ingestion, data quality testing, SOC 2, DORA, observability

snowflake , Databricks, Emr, Distributed Systems, Tensorflow, Apache Spark, Presto, Kafka, Pytorch, Kubernetes, Docker, Terraform, Airflow, MLOps tools, Ray, Kubeflow, dbt, Infrastructure-as-Code, Flink, Data platforms, Real-time streaming architectures, Model serving, LLM hosting, Trino

Machine Learning, Hadoop, Artificial Intelligence, Sql, Nlp, Azure Cloud, Data Warehousing, Aws Cloud, Api, Python, Etl, Generative AI, Multi-Agent Architectures, Retrieval-Augmented Generation, Azure AI Services, Database Design Optimization, Microservices Architecture, Cloudera Ecosystem, Software Engineering Best Practices, Prompt Engineering, ELT Technologies

composer , BigQuery, Metadata Management, Dimensional Modeling, Automated Testing, Sql, Cloud Storage, Cloud Architecture, Python, Airflow, knowledge graphs, LLM integration, distributed processing, retrieval-augmented generation, Dataform, semantic models, CI CD, Google Cloud services, production support practices, AI-enabled applications, data quality monitoring

S3, Cassandra, Kafka, Kinesis, Tdd, Big Data Technologies, Agile, AWS, Java, Scala, Sql, Hive, Gcp, Spark, Elastic Search, MongoDB, Azure, Hbase, Airflow, Flink, Luigi, HDFS, Azkaban, CI/CD, Spark-Streaming

Neo4j, Databricks, Python, MCP integration, pgvector, MCP prompt eval tooling, LLM cost governance, LLM orchestration, vector databases, RAG pipelines, graph stores

MLops, Pyspark, Spark, Databricks, Delta Lake, cloud-native architectures