snowflake , Data Quality, Databricks, Emr, Tensorflow, Kafka, Pytorch, Terraform, Apache Spark, Kinesis, Presto, Distributed Systems, AWS, Kubernetes, Cloud Infrastructure, Docker, Security, Airflow, dbt, Flink, real-time streaming architectures, model serving, LLM hosting, Trino, MLOps tools, Ray, Kubeflow, Infrastructure-as-Code, Redpanda, Governance, data platforms, observability

Matplotlib, Sql, Tensorflow, Seaborn, Pyspark, Numpy, Google Cloud, Pandas, Pytorch, Python, Scipy, plotly, Airflow, Kubeflow, Scikit-learn, VertexAI

Java, T-sql, Hadoop, Scala, SQL Server, Kafka, Sql, Jenkins, Azure Data Factory, Docker, Terraform, Spark, Databricks, Azure, Kubernetes, Python, AWS, Airflow, ATLAS, Great Expectations, Glue, Delta Lake

Python, data technology stacks, Azure services, full-stack development, advanced data modeling, cloud platforms, enterprise-scale data architecture, AI frameworks, automation platforms

vectorization , Apis, Microservices, Python, LLM optimization, Knowledge Artifacts, Prompt engineering, AI Governance, Multi-LLM Strategy, Observability frameworks, Taxonomy Engineering, semantic search, GenAI Development Integration, Data Lakehouse, Agent-based orchestration, Document parsing, Model gateways, Cost Optimization

Rabbitmq, Data Security, Kafka, Infrastructure Management, ETL frameworks, Airflow, large-scale messaging systems, dbt, large scale distributed systems, workflow or orchestration frameworks, metrics stores

change data capture , Java, Hadoop, Scala, Kafka, Sql, Spark, Aws Cloud, Python, Airflow, Pinot, Flink, Iceberg, Trino

Machine Learning, Kafka, Data Modeling, Sql, Kinesis, Gcp, Azure, Python, AWS, Airflow, warehouse design patterns, Flink, lakehouse platform, analytics reporting, data models, dbt, cloud data warehouse, streaming architecture, data transformation pipelines